×
The best robot vacuum and mop to buy right now

The best robot vacuum and mop to buy right now

Robot vacuums that can both mop and sweep your floors have improved significantly in recent years. While they are still not as effective as good ol’ manual labor, if you run them regularly, they will help keep your floors cleaner with much less effort on your part.

The difference is that newer “combo” robot vacuum and mop models are designed to actually scrub your floors. The first robot vacuums that could also “mop” simply slapped a thin, flat microfiber pad on the bot that kind of Swiffer-ed your floor. Basically, all this was good for was getting up fine dirt that the vacuum left behind.

A robot vacuum with a real mopping system will make your life easier

Newer models now come with vibrating or oscillating mop pads, and some even have roller mops. Most models have onboard water tanks to keep the mops wet while in use, and many can wash and dry their mops in their charging docks, which also automatically empty and refill their water tanks, meaning less work for you.

While most robot vacuums today come with some sort of mopping feature, this guide focuses on those that excel at mopping. If you’re more interested in the best vacuum, check out my guide to floor sweeping bots.

The downside to these combo bots with serious mopping chops is that they tend to be bigger and heavier and need more frequent intervention than regular vacuum bots. Water equals gunk, and cleaning their giant multifunction docks, even the self-cleaning ones, can be an icky job. You also have to empty and refill their tanks about once a week.

Mopping bots also need to return to their docks more frequently than robot vacuums in order to refill their onboard water tanks. This means they’ll take longer to clean your floors than a dedicated vacuuming model, but they are doing two jobs at once. Robot mops with roller mops will self-clean as they work, negating this issue, but these models are also the largest and bulkiest, as they carry a bigger water tank on board.

Combo bots can mop and vacuum simultaneously, but for especially dirty floors, it’s best to have the option to vacuum first and then mop. A mop-only mode is also good, as you can send the bot to clean up a wet spill without it sucking up water — something they’re not designed to do, yet.

If you have a lot of hardwood or tile floors and constantly struggle with muddy paw prints or the general dirtiness of life with multiple pets, people, and kids, a good robot vacuum and mop combo will definitely make your life easier.

$970

The Deebot X8 Pro Omni is an excellent roller mopping bot that extends to clean along backboards and furniture. It’s also a powerful vacuum with great obstacle avoidance, a small dock, and a convenient self-cleaning brush system.

$350

Roborock’s S8 robot vacuum / mop offers a host of high-end features at an affordable price, including 6,000Pa of suction, AI-powered obstacle detection, and dual rubber roller brushes that perform well on carpet.

What I’m looking for

I’ve been testing robot vacuums for more than six years and have tested over 60 models. I wrote The Verge’s best robot vacuum buying guide and the best budget robot vacuum guide, and for this guide, I tested 15 different mopping robots.To evaluate the bots, I ran each regularly for at least a week and measured their progress, evaluating how clean the floor stays, how well they navigate, how often I had to refill the tanks, how well the auto-empty function worked, and how easy the app was to use.I run them in my kitchen, where I have hardwood floors, and in a large bathroom with a white tile floor — one that looks filthy just a day after being cleaned. For specific tests, I deploy a wet and dry challenge. The wet challenge features dried-on OJ and ketchup, plus fresh spills of milk, water, and some kind of sauce. For the dry challenge, I place cereal (usually Cheerios) and oatmeal (a really tough one to clean). I evaluate how well the bots deal with mopping the stains and vacuuming the debris.Finally, I test their obstacle detection by running them through an obstacle course featuring common robot trip-ups, including fake dog poop, cables, socks, and tricky chair legs.

This is a charging base that empties the robot’s bin, washes and dries the bot’s mops, and empties and refills its water tank. This is essential if you want to be as hands-free as possible when mopping your floor. Some offer hot water washing and drying options that will keep your pads cleaner for longer. But you’ll want to throw them in the wash eventually. A dock that can self-clean the washboard (the area where it cleans the mops) is a nice upgrade, as you won’t have to do it yourself as often.

The bigger the clean and dirty water tanks on the dock, the less often you’ll have to refill them. If the dock can connect directly to the plumbing, even better; it’s a more complicated install, but it makes for a more hands-off experience long term.

Mop type matters. The main options are circular and spinning, flat and vibrating, or rolling and self-cleaning. Rolling (like the beater bar on a vacuum cleaner) is my favorite because it does a better job of getting floors really clean. The greater surface area of a roller mop, combined with the self-cleaning function — the vac sprays water onto the mop as it runs — makes it a more effective option than flat or spinning mops in most cases. However, oscillating mops that can extend outwards are better at getting into grout between tiles, along baseboards, and under low furniture.

If you have low-pile rugs and carpet, mop pads that the robot can lift up (by at least 10 mm) should prevent your carpets from getting damp when the robot rolls over them. However, robots that can remove the mop pads entirely before vacuuming carpets are a good option, especially if you have high-pile rugs.

Specs around mop pressure and rotation speed are similar to those for suction power on the vacuum; they matter to some extent, but what’s more important is how effective the pads are. The higher the pressure, the more effective it should be on tougher stains. The higher the rotations per minute (RPMs), the more friction the stain has to deal with. It’s hard to judge pressure, as several manufacturers don’t list it and those that do use different measurements, but 12 Newtons, roughly 2.2 pounds of downward pressure, is very good.

A well-laid-out app is key. It should let you choose which rooms to clean, and in what order. Generally, you want a mopping bot to clean the dirtiest room last (think bathroom or hallway) to avoid cross-contamination. I also look for the option to mop only, in addition to mop and vacuum, or vacuum then mop, and, of course, vacuum only.

Best robot vacuum and mop

$970

The Good

  • Self-cleaning roller mop
  • Extendable mop
  • Excellent obstacle avoidance
  • Smaller dock

The Bad

  • Limited mop lift
  • Heavy, struggles with transitions
  • Single roller brush

Multifunction Dock: Yes, auto empty (3L) and drain/refill (4L dirty, 4L clean) / Mop style: Roller / Mop washing: Yes, hot water and hot air drying / Mop pressure: 4,000Pa at 200 RPM / Mop lift: Yes, 10mm / Edge cleaning: Yes, mop extension / Mapping: Yes, lidar / AI-powered obstacle detection: Yes / Suction power: 18,000Pa / Vacuum brush style: Single rubber/bristle / Works with: Amazon Alexa, Google Home, Siri Shortcuts, Matter support promised

Ecovacs’ Deebot X8 Pro Omni is a welcome return to form for Ecovacs’ flagship line. Its new tower-less lidar navigation system did a much better job of mapping and navigating than the previous flagship, the Deebot X2 Omni, which was constantly getting lost in my tests. However, the most notable thing about the X8 is the Ozmo Roller Mop.

This is the best roller mopping bot I’ve tested, thanks mostly to the Ozmo’s ability to extend outwards to clean along baseboards and furniture. This is a unique feature on a roller mop (for now) that makes up for the mop’s relatively short length (both the Eufy S1 and Switchbot S10 have longer roller mops). At $1,299, the X8 is also one of the less expensive flagship models (though the new X9 Pro Omni retails for $1599.99).

The roller mop can extend outwards.
Photo by Jennifer Pattison Tuohy / The Verge

The tank for cleaning solution is refillable.
Photo by Jennifer Pattison Tuohy / The Verge

The X8 did an excellent job on my milk, OJ, and dried ketchup tests, absorbing the small spills with one or two passes. It covered the floors evenly, without leaving any streaks or gaps, something that I’ve seen happen with spinning mop pads. When it comes across an edge — be it a baseboard, furniture like a chair or table leg, or any obstacle — it extends out its mop to the right to clean as close as possible. It did an excellent job getting the grime up from the stools around my kitchen counter, something most other bots struggle to do.

This is the best roller mopping bot I’ve tested

The self-cleaning brush system kept the bot from smearing any spills it encountered. As it’s cleaning, a scraper squeegees off the dirty water and 16 nozzles spray it with fresh water and solution, if you use it. As with most high-end mopping bots, the dock has the option of auto-dispensing cleaning solution.

The X8 was the best vacuuming robot among the serious combo bots I tested, outperforming my Cheerio and oatmeal tests and doing a good job on rugs (when it could reach them). However, its vacuum has a relatively small, single rubber roller brush, which is less effective than Roborock’s and Roomba’s dual roller brush models (which include the S8 MaxV Ultra and the 10 Max).

The water tanks are easily accessible.
Photo by Jennifer Pattison Tuohy / The Verge

The dock is small with nice rose gold accents.
Photo by Jennifer Pattison Tuohy / The Verge

The X8 uses lidar and a 3D camera for mapping; the latter also facilitates its obstacle detection, which is very good — it easily navigated fake dog turds and cables while sucking up oatmeal and Cheerios. It’s much better at navigating than the X2, but it did occasionally get itself trapped, including when it went under a chair that was too low for it to get out from. The top of the robot was fairly scratched up after just one week of use. (Worth noting, Ecovacs suffered a hack last year in which bad actors could access the camera and microphone on the X2)

The X8’s multifunction dock is much smaller than the X2’s and has some nice rose gold accents. Its water tanks are integrated into the dock and supereasy to remove to empty and refill — there’s no lid to mess with, you just lift up and go. The X8 doesn’t self-clean its washboard, however, and while it’s removable to make it easier to clean, I still had to get on my knees and scrub its base station after just a week of use.

It easily navigated fake dog turds and cables while sucking up oatmeal and Cheerios

The downside of roller mop bots is that they are big and heavy: the X8 weighs a whopping 12 pounds. Despite an ability to lift itself up to clear thresholds, the X8 isn’t as agile as smaller, lighter robot vacs. It struggled with the combo challenge of a large, tasseled, high-pile rug and spindly chair leg. Very few robot vacs tackle that one well, but it got stuck on the chair leg and sucked up the rug tassels. I ended up setting a keep-out zone so it could complete its job.

The integrated nature of the roller mop means the bot can’t remove it when it goes to vacuum carpet, as some mopping bots with pads can. It can lift it, but only 10mm, which isn’t going to work for the fluffiest rugs. The X8 does have carpet sensors, and you can choose to avoid them automatically, pass over them, or vacuum only. But its best carpet feature is the option to have it vacuum the carpets first, then mop everywhere else.

Overall, the Deebot X8 is a stellar vacuum mop combo for anyone seeking a robot that will thoroughly scrub and sweep their floors. With high-end features at a decent price, the X8’s roller mop, slick navigation, and excellent obstacle avoidance will get the job done.

Best budget robot vacuum and mop

$350

The Good

  • Sonic-mopping
  • Auto-mop lift
  • AI-powered obstacle avoidance
  • Dual-rubber roller brushes
  • Carpet detection

The Bad

  • Very large and wide
  • Have to wash the mop manually
  • Have to refill the water tank manually
  • No heated drying
  • Limited mop lift

Multifunction Dock: No – just auto empty / Mop style: Vibrating pad / Mop washing: No / Mop pressure: 6N pressure, vibrates 3000 times a minute / Mop lift: Yes, 5mm / Edge cleaning: No / Mapping: Yes, lidar / AI-powered obstacle detection: Yes / Suction power: 6,000Pa / Vacuum brush style: Dual rubber / Works with: Amazon Alexa, Google Home, Siri Shortcuts

The Roborock S8 is a great vacuum featuring AI-powered obstacle detection, dual rubber roller brushes, and 6,000Pa of suction. These are all features you won’t find on most budget bots, and combined, they mean the S8 does a good job vacuuming hard floors and carpets. Then, its flat mop, which vibrates 3,000 times a second, is very effective at scrubbing hard floors.

Unlike most robot vacuums in this guide, the S8 won’t automatically fill its water tank or wash its mop; you will have to do that work manually. However, it does have an extra-large onboard water tank, again a feature you won’t find on cheaper mopping bots, which means the mop gets sufficiently wet to be effective.

The S8 wasn’t designed as a budget bot; in fact, it was Roborock’s flagship model in 2023, but buying an older model like this can save you a lot of money while still doing a good job. Once $750 for the robot alone, now you can often find it for well under $500, and that’s with its auto-empty dock.

1/5

The S8 Plus adds an auto-empty dock to the robot vacuum

One of my favorite features of the S8 is that it can be set to mop only, and it does an excellent job, moving in a tighter “Z” pattern and going over the floors twice. It also has a slow option for a more thorough cleaning. I liked to send it out to vacuum everywhere first, then recharge and go out again to mop, which resulted in sparklingly clean floors. It does take a long time, though, and it doesn’t have any edge cleaning options, so it won’t mop as well along baseboards or under low furniture as the more expensive models.

Another great feature at this price is carpet sensing — the S8 can raise its mops a few millimeters to avoid dampening your carpets. Most other budget mopping bots require you to remove the mop pads when vacuuming carpet or set keep-out zones around your rugs. However, the mop-raising feature can only clear low-pile rugs, so I had to set no-mopping zones around my plush floor coverings.

The S8 requires a fair amount of hands-on time since you have to refill its reservoir manually and wash the mopping pads (you can throw them in the washing machine). But if you’re good with a little more manual labor in exchange for cleaner floors, the S8 is a great option.

Read more of my Roborock S8 review.

Best midrange robot vacuum and mop

$700

The Good

  • Good AI-powered obstacle detection
  • Effective mopping
  • Excellent value
  • Nice dock

The Bad

  • Single rubber / bristle brush
  • Lower suction power
  • No heated mop washing
  • Some navigation issues

Multifunction Dock: Yes, auto empty (2.5L) and drain/refill (2.7L dirty, 3L clean) / Mop style: Dual spinning pads / Mop washing: Yes, hot air drying / Mop pressure: 2.2 lbs at 180 RPM / Mop lift: Yes, 12 mm / Edge cleaning: Yes, swinging motion / Mapping: Yes, lidar / AI-powered obstacle detection: Yes / Suction power: 8,000Pa / Vacuum brush style: Single rubber bristle hybrid / Works with: Amazon Alexa, Google Home, Siri Shortcuts

The Eufy X10 Pro Omni is an excellent mop vacuum hybrid with a full multifunction dock. Unlike the Roborock S8, it can wash its mop, drain, and refill its water tank. It’s also the cheapest model to offer dual spinning mop pads, and it has very good obstacle detection for this price range.

However, the X10 has just 8,000Pa suction, no hot water washing, and smaller water tanks. While it has most of the same functions as the top-of-the-line mopping bots, it’s not quite as effective at any of them. Which is sort of the definition of “midrange.”

An edge-hugging mode makes the robot swing its behind into the baseboards to help mop edges, but this is less effective than mop extension found on the more expensive models. With its squarish shape, it gets into corners better than most of the round bots, but its 12mm mop pad lift over carpet wasn’t effective, resulting in its pads getting hung up in a few places.

1/4

The Eufy is a large robot with a square-shaped front.

The Eufy performed very well in my mopping tests, eradicating dried stains with its 2.2 pounds of downward pressure. Thanks to an onboard water reservoir, it didn’t have to head home to fill up as frequently as some bots do. It also has heated mop drying to help prevent the base from getting stinky — a first in this price range.

The X10 has great object recognition, allowing it to suck up Cheerios and piles of oatmeal while deftly navigating fake dog turds and cables. However, its navigation sometimes got screwy; it would go into a corner and stay there for a while, trying to figure itself out.

Read more of my Eufy X10 review.

Best robot vacuum and mop for a mix of hard floors and rugs

$1400

The Good

  • Self-removing mop pads
  • Mop extension reaches under edges
  • Self-cleaning washboard
  • Dirt detection tech

The Bad

  • Middling AI obstacle detection
  • Single rubber roller brush
  • App can be flaky

Multifunction Dock: Yes, auto empty (3L) and drain/refill (4L dirty, 4.5L clean) / Mop style: Dual spinning pads / Mop washing: Yes, hot water and hot air drying / Mop pressure: Unknown / Mop lift: Yes, 10.5 mm / Edge cleaning: Yes, mop extension Mapping: Yes, lidar / AI-powered obstacle detection: Yes / Suction power: 12,000Pa / Vacuum brush style: Single, rubber / Works with: Amazon Alexa, Google Home, Siri Shortcuts

If you have a lot of fluffy rugs or carpets as well as hard floors, the Dreame X40 Ultra is the best robot vacuum for you. It’s not quite as effective as a mop or vacuum as the Ecovacs Deebot X8, but it’s better suited for high-pile carpet and rugs because it can automatically drop and reattach its mopping pads during vacuuming, eliminating the risk of getting your rugs wet or stained. The Ecovacs X8 can only raise its mop 10mm, not remove it, so it struggles on high-pile carpets.

Along with dropping its pads, the X40 can also extend and swing them to get under your cabinets and consoles. The X8 can extend to an edge, but won’t get under those low cabinets or furniture. I watched the X40 spread its mops wide apart and swing behind my TV console, allowing it to access the dust wedged a good inch under it.

However, because the X40 features dual spinning mop pads rather than a self-cleaning roller mop, it requires more frequent returns to clean the mops, which means it takes longer to clean your home. The X40’s spinning pads are effective at scrubbing your floors, but I found the X8’s roller mop to be better overall and more consistent.

1/3

The X40 Ultra has self-removable, dual spinning mopping pads.

The X40 can clean its washboard and features AI-powered smart dirt detection, which uses its cameras to identify spills, such as milk, or particularly dirty areas. When it spots something, it slows down and performs a more thorough cleaning. It also has an option to just mop. These are features the Ecovacs X8 doesn’t offer.

Dreame recently released the X50 Ultra, which adds 20,000Pa suction power and the ability to climb over higher thresholds. I’m currently testing this model.

Read more of my Dream X40 Ultra review.

Best robot vacuum and mop for hardwood floors

$600

The Good

  • Long roller mop
  • Sleek, futuristic design
  • Dual side brushes
  • Square shape helps with corners

The Bad

  • Middling vacuum performance
  • No self-cleaning base
  • No mop extension

Multifunction Dock: Yes, auto empty (2.5L) and drain/refill (2L dirty, 3L clean) / Mop style: Roller / Mop washing: Yes, warm water and hot air drying / Mop pressure: 10N, 170 RPM / Mop lift: Yes, 12mm / Edge cleaning: No Mapping: Yes, lidar / AI-powered obstacle detection: Yes / Suction power: 8,000Pa / Vacuum brush style: Rubber / Works with: Amazon Alexa, Google Home, Siri Shortcuts

If you have mostly hardwood floors, the Eufy Omni S1 Pro is an excellent option. With its sleek, high-tech design and a long 11.4-inch roller mop, this product did an excellent job of keeping the hardwood floors of my main living area spotless.

I found the Eufy’s longer roller mop to be slightly more effective than the Deebot X8’s, mopping evenly and getting up more dirt on its first pass. While there is no mop extension of edge mopping, its square shape does help it get into corners, and its dual spinning side brushes help pull in debris.

The Eufy S1 has a unique “love it or hate it” look. I kind of love it.

The Eufy S1 has a unique “love it or hate it” look. I kind of love it.

However, its vacuuming prowess is middling; this really is a dedicated mopping robot. With just 8,000Pa suction power and a small rubber brush, it did a decent job of getting up debris, but left several flakes of oatmeal, thanks to its side brushes spinning the debris out beyond the bot’s reach. Its obstacle avoidance is also fairly average; it dodged larger items but struggled with cables.

The S1’s omni station is quite eye-catching, with a tall, futuristic design, and clear water tanks with glowing lights inside — although it might be considered an eyesore, depending on your style. Usefully, everything you need to interact with is located at the top, so there’s no need to bend down: a touchscreen display provides controls and the clean and dirty water tanks are easy to remove.

If you have tile or scraped wood floors, a bot with oscillating mop pads will be better at getting into the crevices

While it has a mop lift of 12mm (which is higher than the X8’s), it really struggled on my high-pile carpets, to the point where I had to set keep-out zones around them.

Like the X8, the S1 self-cleans the mop with water jets as it’s working, and you can set how frequently it returns to the base station for a thorough clean with warm water before continuing to mop. It will also dry the mop with hot air, which is effective, if noisy.

The Eufy’s 11.4-inch roller brush extends almost the entire length of the front.
Photo by Jennifer Pattison Tuohy / The Verge

The Eufy has two spinning side brushes, which help get dirt into the bot’s path.
Photo by Jennifer Pattison Tuohy / The Verge

Neither the X8 nor the S1 have self-cleaning washboards, something Dreame offers. This is where the dock automatically washes the mopping tray in the dock – Dreame’s uses little wipers that go back and forth. It still needs to be cleaned eventually, but it does help keep the ick at bay for longer.

The S1 station’s debris filter got grungy fast and required manual cleaning, although this is fairly straightforward. After a month of use, I also had to disassemble the scraper and filter inside the bot, as well as remove the roller mop. This is something you’ll need to do for all mopping bots, but the Eufy’s was the most involved process, requiring me to disassemble multiple parts.

In my testing, I found that roller mops are great for most hardwood floors, but if you have lots of tile or scraped wood floors with grooves and nooks and crannies, a bot with oscillating mop pads will be better, as these do a better job of getting into crevices such as grout lines.

Best robot vacuum and mop for tile floors

$950

The Good

  • Superb mopping
  • Great obstacle avoidance
  • Excellent dirt detection
  • Self-cleans its washboard
  • Very quiet

The Bad

  • Minimal mop lift
  • Edge cleaning just okay
  • Uses a lot of water
  • App is unreliable

Multifunction Dock: Yes, auto, empty (2.5L) and drain/refill (4.1L dirty, 4.5L clean) / Mop style: Dual triangular spinning pads / Mop washing: Yes, hot air drying / Mop Pressure: 2.6lbs at 180 RPM / Mop lift: Yes, 12mm / Edge cleaning: Yes, robot swing and fluffer / Mapping: Yes, lidar / AI-powered obstacle detection: Yes / Suction power: 12,000Pa / Vacuum brush style: Single, conical rubber bristle hybrid / Works with: Amazon Alexa, Google Home, Siri Shortcut

Narwal’s latest flagship mopping bot, the Freo Z Ultra, combines everything I loved about the Freo X Ultra, and adds better vacuuming, better object avoidance, an auto-empty dock (a first for Narwal), and a fluffy side brush to polish your baseboards. It also now comes in gray (white robot vacuums are not a good idea, unless you like cleaning your robot vacuum).

With its dual, triangular spinning mop pads (the unique shape helps avoid missing spots), the Freo Z is a great choice for homes with lots of hard floors, and especially tile. The oscillating mop pads are slightly better than roller mops at getting into grout lines and other crevices found on natural surfaces. The Freo Z’s downward pressure of 2.6 lbs meant it did a great job of scrubbing up dried-on debris, excelling in my dried ketchup test, even getting the red gunk up from tile grout.

A fluffy sidebrush and swinging motion help the bot clean along edges and baseboards.

Triangular-shaped mopping pads meet in the middle, meaning fewer missed spots.

Like the Deebot X8, the Freo Z can recognize various floor materials, including tile, hardwood, and marble, and clean in the direction of the flooring, such as along the wood grain. Unlike the X8, it automatically adjusts pressure and “mopping humidity” based on the floor type, using higher humidity on tile floors than on wood floors, which can be impacted by excessive moisture. The Freo Z also self-cleans its station and has a removable tray, making maintenance easier.

The Freo Z is remarkably quiet, making it a great option for running in a bedroom

Vacuuming is much better than the Freo X, with the Z boasting 12,000Pa. While that’s not as high as the X8, the Freo Z is remarkably quiet, making it a great option for running in a primary bedroom suite where you may have a tile bathroom combined with carpet.

As with the X8, the Narwal doesn’t deal well with high-pile rugs, as there’s still only a 12 mm mop lift and no automatic mop removal. However, you can set it to perform one of four actions when it encounters a carpet: sidestep, cross it without cleaning, power boost to clean the carpet more effectively, or regular cleaning.

The obstacle detection is vastly improved and very good. A dual camera system allows the bot to not only see objects but uses AI to identify what they are and “decide” how to clean them. The best use of this I saw in testing is when there was a large puddle of water and it automatically switched to mop-only so as not to suck up liquid.

Similarly, Narwal’s dirt detect feature is very good. The bot goes back and forth over a stain or dirty area to ensure it’s clean.

A control panel on the top provides quick access to control the robot.

The dock contains a dustbin, two water tanks, and a non-refillable proprietary cleaning solution.

My two biggest gripes with the Freo Z are that it uses a lot of water; it doesn’t have an onboard water tank, so it has to return frequently to refill — and could only clean my 800 square foot area once before I needed to refill the main tank in the dock. By comparison, the X8’s tank only needed refilling after three runs.

Additionally, its app can be frustrating. It’s not easy to navigate, gets hung up between screens, and frequently disconnects from the robot. However, unlike the X8, the Narwal has controls on top of the station to start a clean, and once I had programmed a schedule, I didn’t find myself needing to use the app much at all.

The fluffy sidebrush feels more of a novelty than a necessity and doesn’t really seem to do much. Also, at this price, it would be nice if the Narwal offered a self-cleaning washboard. However, its washboard is removable, which makes it easier to clean manually.

Best robot vacuum and mop with a plumbing hookup

$500

The Good

  • Almost hands-free
  • Excellent roller mop
  • Self-cleans
  • Battery-powered water station
  • Supports Matter

The Bad

  • Big and wide
  • Can’t mop a second floor; it will only vacuum
  • Short battery life
  • Low suction power

Multifunction Dock: Yes, auto, empty (4L) and drain/refill (two separate devices) / Mop style: Roller / Mop washing: Yes (during use), hot air drying / Mop Pressure: 2.2lbs at 300 RPM / Mop lift: Yes, 7mm / Edge cleaning: No / Mapping: Yes, lidar / AI-powered obstacle detection: Yes / Suction power: 6,500Pa / Vacuum brush style: Single rubber bristle hybrid / Works with: Amazon Alexa, Google Home, Siri Shortcut, Matter

The SwitchBot S10 is a multitasking robot that hooks into your plumbing for a virtually hands-free sweeping and mopping experience. It’s one of the best robot mops I’ve tested, thanks to its self-cleaning roller mop and the fact that I never had to empty or fill its water tanks. These two features meant I could set it and forget it and have clean floors for weeks.

My other favorite feature of the S10 is its dual docking system. Its main dock is a charging / auto-empty dock, and there’s a separate battery-powered dock water station that you can put in a different room. This battery-powered dock is what makes the S10 the best plumbing hookup option, as it gives you much more flexibility with placement. Roborock, Dreame, and Narwal also have plumbing hookup docks, but they require power (I’ve not tested either of those yet).

1/5

The S10 is a very large and heavy robot.

While the SwitchBot is a decent vacuum, it’s not the best. Its relatively paltry 6,500Pa of suction power is low compared to the competition, but the bot’s weight did help the rubber roller brush dig into the carpet and get up most of the cat hair.

S10 frequently got stuck on clothes left on my floor and bath mats — which are the bane of most mopping bots

Other downsides include the AI obstacle avoidance, which isn’t great. The S10 frequently got stuck on clothes left on my floor and bath mats, its battery life is short, and it lacks high-end features like dirt detection. There is also no edge cleaning function, meaning it didn’t do a great job along baseboards and around furniture.

SwitchBot recently announced the SwitchBot S20 Pro, slated to launch this summer. The upgrade addresses some of my issues with the S10, including adding an extendable roller mop and side brush to add edge cleaning, as well as 15,000Pa. It also comes with the option of two all-in-one auto-empty base stations: one with a regular water tank you manually refill, or one that can hook into your plumbing. But it will also work with the battery-powered water station. I plan on testing this soon.

Read my full SwitchBot S10 review.

What I’m currently testing and what’s coming next

Narwal’s upcoming Narwal Flow features a big and wide extendable roller mop.

Narwal’s upcoming Narwal Flow features a big and wide extendable roller mop.

  • As mentioned before, Ecovacs recently released a successor to the Deebot X8 Pro Omni, aptly called the X9 Pro Omni ($1,299.99). It sports a roller mop like the X8 Pro, but the big difference is that the new model is designed to optimize airflow from intake to exhaust rather than relying solely on suction power. The upgrade could lead to better deep-cleaning, though we haven’t put it through its paces yet.
  • Roborock’s Saros 10 ($1,599.99) and Saros 10R ($1,599.99) are upgrades to my pick for the best overall robot vacuum, the S8 MaxV Ultra. Both can automatically remove their mop pads when not needed, which is a new option for Roborock. One uses dual spinning mops, the other a flat vibrating pad.
  • Roborock also recently released the Saros Z70 ($1,999 $2,599), the first mass-produced robovac to feature a robotic arm that can pick up light objects — including socks, tissues, and sandals. The arm isn’t the most reliable, and the vacuum occasionally struggles with correctly identifying items, but it’s otherwise an excellent model with 22,000Pa of suction power and dual spinning mop pads that it can remove on its own. Read our review.
  • Roborock’s cheaper Qrevo Curv ($1,399.99 $1,599.99) also has dual spinning mop pads (which you have to remove) and can raise itself to clear thresholds up to 40mm. The company’s Qrevo Slim ($899.99 $1,399.99) offers similar functions but features a new navigation system and lacks a lidar tower, allowing it to fit under low furniture.
  • iRobot’s new Roomba lineup features two models with dual spinning mopping pads and auto-wash docks. The new Roomba Plus 505 Combo Robot Plus AutoWash Dock ($849.99 $999.99) also offers heated mop drying, a feature the higher-end Roomba Combo 10 Max lacks.
  • iRobot also recently introduced an upgraded version of the Roomba Max 705, the Roomba Max 705 Combo, which will be available for preorder in North America “later this year” for around $1,272 (€1099). Like the Max 705, it features dual rubber roller brushes that are resistant to tangling, along with AI-powered obstacle detection. It also comes with a unique roller mop cover that automatically deploys as it cleans, as well as a design that allows the mop to extend into corners and clean along wall edges.
  • Priced at $999.99, Eufy’s new Robot Vacuum Omni E28 is a self-emptying, self-refilling, and self-washing robot vacuum with a rolling mop that can go over tough stains a second time if needed. The charging dock also includes a built-in deep cleaner that sprays water to tackle stains before sucking the mess into a separate wastewater tank.
  • The Narwal Flow — which is set to launch at an undisclosed price on August 7th — features the company’s first roller mop, which can also extend. We haven’t spent any time with it yet, but Narwal claims it can easily tackle thick, fluffy carpets thanks to its deep carpet boost mode.
  • The Matic is a $1,095 robot vacuum that doesn’t need a cloud connection to work and can suck up wet spills as well as dry ones. Here’s some video of it in action.
  • Eureka’s J20 ($899.99 $1,099.99 ) features a very wide roller mop but only 8,000Pa suction. The forthcoming J15 Max Ultra ($1,299) can accurately spot liquids and automatically rotate its body to tackle wet spills with its dual spinning mopping pads. It’s an upgrade to the J15 Pro Ultra ($779.98 $999.99), which can identify colored liquids but not clear or white ones.
  • The Dreame X50 Ultra ($1,199.99 $1,699.99) features a “motorized swing arm” that functions like a leg, enabling the robovac to climb over transitions up to 6cm tall. Otherwise, it’s a lot like the X40 Ultra in this guide, only with higher suction power and a retractable lidar tower.
  • The Switchbot S20 ($799.99), which resembles the Pro model announced at CES earlier this year, is now available. It’s essentially the successor to our previous pick for the best mopping vacuum, the Switchbot S10, with an extendable roller mop / side brush and 15,000Pa of suction power.
  • SharkNinja’s PowerDetect NeverTouch Pro 2-in-1 robot vacuum mop ($699.99 $999.99) can lift itself up as high as 20mm to get over rugs and transitions. Its automatic empty /wash / dry cleaning station doesn’t require bags, either.

Photography by Jennifer Pattison Tuohy / The Verge

Update, August 5th: Adjusted pricing / availability and added a mention of the Roomba Max 705 Combo. Sheena Vasani also contributed to this post.

Follow topics and authors from this story to see more like this in your personalized homepage feed and to receive email updates.


Source link
#robot #vacuum #mop #buy

What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?  

The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details. 

The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there. 

This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.  

Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.  

Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?  

“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” 
 
Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.  

There are around 3,600 AI startups in London, which, together, have raised around $12.1 billion out of the $14.8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. 
 
That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.  

Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.  

Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a $3.3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.  

“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.” 

This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?  

The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details. 







The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there. 

This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.  

Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.  

Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?  

“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.”  Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.  


There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me.  That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.  

Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.  

Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.  







“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.” 

Image Credits:Phoenix Court

Top founders want to stay 

Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said.  Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.  

“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said.  Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia. 

Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said. 

Image Credits:Synthesia

Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.  

Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up. 

“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK
Image Credits:Phoenix Court

Top founders want to stay

Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. 
 
Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.  

“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. 
 
Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia. 

Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said. 

Image Credits:Synthesia

Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.  

Unsurprisingly, London’s AI boom is also causing a talent war.

U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up. 

“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK">This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?  

The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details. 







The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there. 

This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.  

Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.  

Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?  

“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.”  Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.  


There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me.  That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.  

Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.  

Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.  







“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.” 

Image Credits:Phoenix Court

Top founders want to stay 

Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said.  Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.  

“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said.  Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia. 

Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said. 

Image Credits:Synthesia

Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.  

Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up. 

“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK

European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.  

Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.  

Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?  

“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” 
 
Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.  

There are around 3,600 AI startups in London, which, together, have raised around $12.1 billion out of the $14.8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. 
 
That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.  

Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.  

Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a $3.3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.  

“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.” 

This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?  

The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details. 







The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there. 

This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.  

Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.  

Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?  

“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.”  Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.  


There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me.  That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.  

Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.  

Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.  







“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.” 

Image Credits:Phoenix Court

Top founders want to stay 

Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said.  Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.  

“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said.  Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia. 

Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said. 

Image Credits:Synthesia

Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.  

Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up. 

“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK
Image Credits:Phoenix Court

Top founders want to stay

Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. 
 
Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.  

“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. 
 
Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia. 

Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said. 

Image Credits:Synthesia

Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.  

Unsurprisingly, London’s AI boom is also causing a talent war.

U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up. 

“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK">This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch

What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?  

The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details. 

The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there. 

This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.  

Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.  

Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?  

“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” 
 
Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.  

There are around 3,600 AI startups in London, which, together, have raised around $12.1 billion out of the $14.8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. 
 
That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.  

Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.  

Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a $3.3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.  

“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.” 

This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?  

The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details. 







The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there. 

This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.  

Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.  

Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?  

“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.”  Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.  


There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me.  That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.  

Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.  

Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.  







“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.” 

Image Credits:Phoenix Court

Top founders want to stay 

Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said.  Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.  

“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said.  Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia. 

Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said. 

Image Credits:Synthesia

Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.  

Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up. 

“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK
Image Credits:Phoenix Court

Top founders want to stay

Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. 
 
Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.  

“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. 
 
Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia. 

Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said. 

Image Credits:Synthesia

Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.  

Unsurprisingly, London’s AI boom is also causing a talent war.

U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up. 

“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK
Why Remote Server Access Is a Common Attack Vector

Every cloud server exposes at least one remote access point – usually SSH on port 22 – and that port is scanned constantly by bots looking for weak credentials. Password-based login is the most common way a system can be attacked by brute force, and it is quite common with a standard setup that the system is left in a state where an admin/user of that system – “root user” – can log in directly by guessing the user ID and the password combination. Add in shared team credentials, forgotten firewall rules from old projects, and staging servers left publicly reachable, and it’s clear why misconfigured remote access – not zero-day exploits – is behind most cloud server compromises. The fix is simple, though you’ll need to do some setup yourself instead of trusting the default setting.

How to lock down SSH access in the right way

The best way to secure remote access is through a series of small improvements rather than one major overhaul. The following is a real working method:

  1. Switch to SSH key authentication, then turn off password login completely in the same location: sshd_config. Keys are far harder to brute-force than passwords.
  2. Disable root login over SSH and require a non-root user with sudo privileges instead; this is a security advantage that even without any change, one key compromising would limit the impact.
  3. Change the default SSH port away from 22 to cut down on automated scanning noise (not a security measure on its own, but it reduces log clutter).
  4. Restrict access by IP using your firewall or security group, allowing SSH only from known office or VPN IP ranges rather than the entire internet.
  5. Add a VPN as a connection layer for anyone accessing servers from outside a trusted network – a VPN like Planet VPN’s free VPN service can encrypt the connection between a remote worker’s laptop and the server before SSH traffic ever leaves their device, which matters especially on public wi-fi or shared networks.

Every step you take closes the doors that the attacker may open slightly, and when you combine everything, you would have a door to a series of locked gates.

Why Do I Need a Bastion Host?

When it comes to teams working with many servers, deploying a bastion host (jump box) may be a clean and effective way to solve the long-term problem. With this method, you only expose SSH to the bastion, and the other servers accept it only when it’s from the bastion’s internal IP. This centralizes logging and makes auditing access far simpler.

Using a virtual private network (VPN) and a bastion host together is perfectly fine – and many solutions use both: a safe way to access the private network via a VPN, followed by use of a bastion host to restrict which servers can be accessed. Some teams may decide to forgo the bastion because they don’t have the manpower to manage one, and so use a combination of a VPN and a set of firewall rules that still quite a bit lowers the exposure, but without the extra effort.

Mistakes Leading to Leaving Cloud Servers Open

The Mistakes That Cause Leaving Cloud Servers Open: Even the safest development teams may have slip-ups from time to time. One of the most frequent is leaving staged, or test servers with relaxed firewall rules equivalent to those of the production environment – hackers don’t concern themselves with which environment they first land on. Another frequent error is reusing the same SSH key on several servers and clients, causing one hacked laptop to compromise all servers that key has access to.

Another common human error is not removing or changing access when someone leaves the team, so stale credentials remain valid and accessible. At last, putting trust in the strategy of “security through obscurity” – meaning one thinks that setting up the unusual port or hiding the hostname from the public is actually sufficient security – creates a wrong impression of security. This is mostly true; in reality, modern-day attackers scan all ports anyway, and there is no way to hide from them.

System Administrators Guide to Secure Remote Access 

Prohibit SSH password logins totally and depend exclusively on key-based authentication

  • Surely no one wants to type in the password every time; because of this, use only key-based authentication 
  • Deter the user from logging in as root by default and instead use the sudo command to do root tasks
  • A firewall or security group rule can provide great help with IP address-based restrictions on SSH logins 
  • For access that comes from untrusted sources or external networks, use a secure tunnel like a vpn or bastion host
  • Periodically change SSH keys and inspect access lists
  • Maintain records of login attempts and detect brute-force attacks as quickly as possible

Frequently Asked Questions

What is the principal means by which cloud servers suffer break-ins through remote access?

By far the biggest reason why this can happen is unauthorized password-based SSH logins that have been cracked by brute force. The scenario is most likely to develop where the administrator allows root login via password and leaves the default port open.

Sufficient security measures for the server via SSH keys: Do you think it is safe to rely only on key authentication? 

It is true that SSH keys drastically decrease the danger of a successful brute-force attack. However, if there is only key authentication on the server, there are still risks – the server administrator can always enable root login or disable the IP-based login restrictions. So it is recommended to always have these three in the server configuration: disabled root login, restricted access to known IPs, and rotating the keys regularly as the main components of meaningful protection. 

Is it really necessary to set up a separate VPN network while I am able to connect via SSH keys? 

A VPN gives extra security by first encrypting your computer traffic before it reaches your network, where the SSH connection will be used. This is mostly important when working on untrusted networks – like public wi-fi – where there is a threat of a potential hacker in your local network looking at your data.

Bastion host vs VPN as methods of accessing the server? 

The bastion host works by funneling SSH sessions from many users through a single, carefully monitored server point while the rest of the network (and mostly the servers) remains protected from the internet. At the same time, a vpn will fully encrypt the communication between the user and the corporate network or servers. The combination is very common among larger security teams as a part of the defense-in-depth principle. 

How often should SSH keys be rotated? 

The ideal period to change your SSH keys depends on the security practices of your organization, but generally a good practice is to change SSH keys between 90 and 180 days, or in the case that the user who had access with the key leaves or is no longer able to be contacted, such as when a team member leaves.

Why is only changing the port number for SSH enough to secure that port?

Changing the port reduces automated scanning noise in your logs but isn’t a real security control on its own — port scanners check all ports, so it should never replace key-based auth and firewall rules.

#Secure #Remote #Access #Cloud #ServerCloud,remote access">How to Secure Remote Access to Your Cloud Server in 2026
	
Protection against unauthorized remote logins to your cloud server is a matter of SSH key-based authentication, a strict security policy on the firewall, two-factor authentication, and a secure communication channel – no individual component will give adequate protection by itself. The major risk point in breaches is not the server but the open door to remote login. To patch that vulnerability, you need a series of countermeasures, not a magical setting.





Why Remote Server Access Is a Common Attack Vector



Every cloud server exposes at least one remote access point – usually SSH on port 22 – and that port is scanned constantly by bots looking for weak credentials. Password-based login is the most common way a system can be attacked by brute force, and it is quite common with a standard setup that the system is left in a state where an admin/user of that system – “root user” – can log in directly by guessing the user ID and the password combination. Add in shared team credentials, forgotten firewall rules from old projects, and staging servers left publicly reachable, and it’s clear why misconfigured remote access – not zero-day exploits – is behind most cloud server compromises. The fix is simple, though you’ll need to do some setup yourself instead of trusting the default setting.



How to lock down SSH access in the right way



The best way to secure remote access is through a series of small improvements rather than one major overhaul. The following is a real working method:




Switch to SSH key authentication, then turn off password login completely in the same location: sshd_config. Keys are far harder to brute-force than passwords.



Disable root login over SSH and require a non-root user with sudo privileges instead; this is a security advantage that even without any change, one key compromising would limit the impact.



Change the default SSH port away from 22 to cut down on automated scanning noise (not a security measure on its own, but it reduces log clutter).



Restrict access by IP using your firewall or security group, allowing SSH only from known office or VPN IP ranges rather than the entire internet.



Add a VPN as a connection layer for anyone accessing servers from outside a trusted network – a VPN like Planet VPN’s free VPN service can encrypt the connection between a remote worker’s laptop and the server before SSH traffic ever leaves their device, which matters especially on public wi-fi or shared networks.




Every step you take closes the doors that the attacker may open slightly, and when you combine everything, you would have a door to a series of locked gates.



Why Do I Need a Bastion Host?



When it comes to teams working with many servers, deploying a bastion host (jump box) may be a clean and effective way to solve the long-term problem. With this method, you only expose SSH to the bastion, and the other servers accept it only when it’s from the bastion’s internal IP. This centralizes logging and makes auditing access far simpler.



Using a virtual private network (VPN) and a bastion host together is perfectly fine – and many solutions use both: a safe way to access the private network via a VPN, followed by use of a bastion host to restrict which servers can be accessed. Some teams may decide to forgo the bastion because they don’t have the manpower to manage one, and so use a combination of a VPN and a set of firewall rules that still quite a bit lowers the exposure, but without the extra effort.



Mistakes Leading to Leaving Cloud Servers Open



The Mistakes That Cause Leaving Cloud Servers Open: Even the safest development teams may have slip-ups from time to time. One of the most frequent is leaving staged, or test servers with relaxed firewall rules equivalent to those of the production environment – hackers don’t concern themselves with which environment they first land on. Another frequent error is reusing the same SSH key on several servers and clients, causing one hacked laptop to compromise all servers that key has access to.



Another common human error is not removing or changing access when someone leaves the team, so stale credentials remain valid and accessible. At last, putting trust in the strategy of “security through obscurity” – meaning one thinks that setting up the unusual port or hiding the hostname from the public is actually sufficient security – creates a wrong impression of security. This is mostly true; in reality, modern-day attackers scan all ports anyway, and there is no way to hide from them.



System Administrators Guide to Secure Remote Access 



Prohibit SSH password logins totally and depend exclusively on key-based authentication




Surely no one wants to type in the password every time; because of this, use only key-based authentication 



Deter the user from logging in as root by default and instead use the sudo command to do root tasks



A firewall or security group rule can provide great help with IP address-based restrictions on SSH logins 



For access that comes from untrusted sources or external networks, use a secure tunnel like a vpn or bastion host



Periodically change SSH keys and inspect access lists



Maintain records of login attempts and detect brute-force attacks as quickly as possible




Frequently Asked Questions



What is the principal means by which cloud servers suffer break-ins through remote access? By far the biggest reason why this can happen is unauthorized password-based SSH logins that have been cracked by brute force. The scenario is most likely to develop where the administrator allows root login via password and leaves the default port open.  Sufficient security measures for the server via SSH keys: Do you think it is safe to rely only on key authentication?  It is true that SSH keys drastically decrease the danger of a successful brute-force attack. However, if there is only key authentication on the server, there are still risks – the server administrator can always enable root login or disable the IP-based login restrictions. So it is recommended to always have these three in the server configuration: disabled root login, restricted access to known IPs, and rotating the keys regularly as the main components of meaningful protection.   Is it really necessary to set up a separate VPN network while I am able to connect via SSH keys?  A VPN gives extra security by first encrypting your computer traffic before it reaches your network, where the SSH connection will be used. This is mostly important when working on untrusted networks – like public wi-fi – where there is a threat of a potential hacker in your local network looking at your data.  Bastion host vs VPN as methods of accessing the server?  The bastion host works by funneling SSH sessions from many users through a single, carefully monitored server point while the rest of the network (and mostly the servers) remains protected from the internet. At the same time, a vpn will fully encrypt the communication between the user and the corporate network or servers. The combination is very common among larger security teams as a part of the defense-in-depth principle.   How often should SSH keys be rotated?  The ideal period to change your SSH keys depends on the security practices of your organization, but generally a good practice is to change SSH keys between 90 and 180 days, or in the case that the user who had access with the key leaves or is no longer able to be contacted, such as when a team member leaves.  Why is only changing the port number for SSH enough to secure that port? Changing the port reduces automated scanning noise in your logs but isn’t a real security control on its own — port scanners check all ports, so it should never replace key-based auth and firewall rules.  





#Secure #Remote #Access #Cloud #ServerCloud,remote access

  1. free VPN service can encrypt the connection between a remote worker’s laptop and the server before SSH traffic ever leaves their device, which matters especially on public wi-fi or shared networks.

Every step you take closes the doors that the attacker may open slightly, and when you combine everything, you would have a door to a series of locked gates.

Why Do I Need a Bastion Host?

When it comes to teams working with many servers, deploying a bastion host (jump box) may be a clean and effective way to solve the long-term problem. With this method, you only expose SSH to the bastion, and the other servers accept it only when it’s from the bastion’s internal IP. This centralizes logging and makes auditing access far simpler.

Using a virtual private network (VPN) and a bastion host together is perfectly fine – and many solutions use both: a safe way to access the private network via a VPN, followed by use of a bastion host to restrict which servers can be accessed. Some teams may decide to forgo the bastion because they don’t have the manpower to manage one, and so use a combination of a VPN and a set of firewall rules that still quite a bit lowers the exposure, but without the extra effort.

Mistakes Leading to Leaving Cloud Servers Open

The Mistakes That Cause Leaving Cloud Servers Open: Even the safest development teams may have slip-ups from time to time. One of the most frequent is leaving staged, or test servers with relaxed firewall rules equivalent to those of the production environment – hackers don’t concern themselves with which environment they first land on. Another frequent error is reusing the same SSH key on several servers and clients, causing one hacked laptop to compromise all servers that key has access to.

Another common human error is not removing or changing access when someone leaves the team, so stale credentials remain valid and accessible. At last, putting trust in the strategy of “security through obscurity” – meaning one thinks that setting up the unusual port or hiding the hostname from the public is actually sufficient security – creates a wrong impression of security. This is mostly true; in reality, modern-day attackers scan all ports anyway, and there is no way to hide from them.

System Administrators Guide to Secure Remote Access 

Prohibit SSH password logins totally and depend exclusively on key-based authentication

  • Surely no one wants to type in the password every time; because of this, use only key-based authentication 
  • Deter the user from logging in as root by default and instead use the sudo command to do root tasks
  • A firewall or security group rule can provide great help with IP address-based restrictions on SSH logins 
  • For access that comes from untrusted sources or external networks, use a secure tunnel like a vpn or bastion host
  • Periodically change SSH keys and inspect access lists
  • Maintain records of login attempts and detect brute-force attacks as quickly as possible

Frequently Asked Questions

What is the principal means by which cloud servers suffer break-ins through remote access?

By far the biggest reason why this can happen is unauthorized password-based SSH logins that have been cracked by brute force. The scenario is most likely to develop where the administrator allows root login via password and leaves the default port open.

Sufficient security measures for the server via SSH keys: Do you think it is safe to rely only on key authentication? 

It is true that SSH keys drastically decrease the danger of a successful brute-force attack. However, if there is only key authentication on the server, there are still risks – the server administrator can always enable root login or disable the IP-based login restrictions. So it is recommended to always have these three in the server configuration: disabled root login, restricted access to known IPs, and rotating the keys regularly as the main components of meaningful protection. 

Is it really necessary to set up a separate VPN network while I am able to connect via SSH keys? 

A VPN gives extra security by first encrypting your computer traffic before it reaches your network, where the SSH connection will be used. This is mostly important when working on untrusted networks – like public wi-fi – where there is a threat of a potential hacker in your local network looking at your data.

Bastion host vs VPN as methods of accessing the server? 

The bastion host works by funneling SSH sessions from many users through a single, carefully monitored server point while the rest of the network (and mostly the servers) remains protected from the internet. At the same time, a vpn will fully encrypt the communication between the user and the corporate network or servers. The combination is very common among larger security teams as a part of the defense-in-depth principle. 

How often should SSH keys be rotated? 

The ideal period to change your SSH keys depends on the security practices of your organization, but generally a good practice is to change SSH keys between 90 and 180 days, or in the case that the user who had access with the key leaves or is no longer able to be contacted, such as when a team member leaves.

Why is only changing the port number for SSH enough to secure that port?

Changing the port reduces automated scanning noise in your logs but isn’t a real security control on its own — port scanners check all ports, so it should never replace key-based auth and firewall rules.

#Secure #Remote #Access #Cloud #ServerCloud,remote access">How to Secure Remote Access to Your Cloud Server in 2026

Protection against unauthorized remote logins to your cloud server is a matter of SSH key-based authentication, a strict security policy on the firewall, two-factor authentication, and a secure communication channel – no individual component will give adequate protection by itself. The major risk point in breaches is not the server but the open door to remote login. To patch that vulnerability, you need a series of countermeasures, not a magical setting.

Why Remote Server Access Is a Common Attack Vector

Every cloud server exposes at least one remote access point – usually SSH on port 22 – and that port is scanned constantly by bots looking for weak credentials. Password-based login is the most common way a system can be attacked by brute force, and it is quite common with a standard setup that the system is left in a state where an admin/user of that system – “root user” – can log in directly by guessing the user ID and the password combination. Add in shared team credentials, forgotten firewall rules from old projects, and staging servers left publicly reachable, and it’s clear why misconfigured remote access – not zero-day exploits – is behind most cloud server compromises. The fix is simple, though you’ll need to do some setup yourself instead of trusting the default setting.

How to lock down SSH access in the right way

The best way to secure remote access is through a series of small improvements rather than one major overhaul. The following is a real working method:

  1. Switch to SSH key authentication, then turn off password login completely in the same location: sshd_config. Keys are far harder to brute-force than passwords.
  2. Disable root login over SSH and require a non-root user with sudo privileges instead; this is a security advantage that even without any change, one key compromising would limit the impact.
  3. Change the default SSH port away from 22 to cut down on automated scanning noise (not a security measure on its own, but it reduces log clutter).
  4. Restrict access by IP using your firewall or security group, allowing SSH only from known office or VPN IP ranges rather than the entire internet.
  5. Add a VPN as a connection layer for anyone accessing servers from outside a trusted network – a VPN like Planet VPN’s free VPN service can encrypt the connection between a remote worker’s laptop and the server before SSH traffic ever leaves their device, which matters especially on public wi-fi or shared networks.

Every step you take closes the doors that the attacker may open slightly, and when you combine everything, you would have a door to a series of locked gates.

Why Do I Need a Bastion Host?

When it comes to teams working with many servers, deploying a bastion host (jump box) may be a clean and effective way to solve the long-term problem. With this method, you only expose SSH to the bastion, and the other servers accept it only when it’s from the bastion’s internal IP. This centralizes logging and makes auditing access far simpler.

Using a virtual private network (VPN) and a bastion host together is perfectly fine – and many solutions use both: a safe way to access the private network via a VPN, followed by use of a bastion host to restrict which servers can be accessed. Some teams may decide to forgo the bastion because they don’t have the manpower to manage one, and so use a combination of a VPN and a set of firewall rules that still quite a bit lowers the exposure, but without the extra effort.

Mistakes Leading to Leaving Cloud Servers Open

The Mistakes That Cause Leaving Cloud Servers Open: Even the safest development teams may have slip-ups from time to time. One of the most frequent is leaving staged, or test servers with relaxed firewall rules equivalent to those of the production environment – hackers don’t concern themselves with which environment they first land on. Another frequent error is reusing the same SSH key on several servers and clients, causing one hacked laptop to compromise all servers that key has access to.

Another common human error is not removing or changing access when someone leaves the team, so stale credentials remain valid and accessible. At last, putting trust in the strategy of “security through obscurity” – meaning one thinks that setting up the unusual port or hiding the hostname from the public is actually sufficient security – creates a wrong impression of security. This is mostly true; in reality, modern-day attackers scan all ports anyway, and there is no way to hide from them.

System Administrators Guide to Secure Remote Access 

Prohibit SSH password logins totally and depend exclusively on key-based authentication

  • Surely no one wants to type in the password every time; because of this, use only key-based authentication 
  • Deter the user from logging in as root by default and instead use the sudo command to do root tasks
  • A firewall or security group rule can provide great help with IP address-based restrictions on SSH logins 
  • For access that comes from untrusted sources or external networks, use a secure tunnel like a vpn or bastion host
  • Periodically change SSH keys and inspect access lists
  • Maintain records of login attempts and detect brute-force attacks as quickly as possible

Frequently Asked Questions

What is the principal means by which cloud servers suffer break-ins through remote access?

By far the biggest reason why this can happen is unauthorized password-based SSH logins that have been cracked by brute force. The scenario is most likely to develop where the administrator allows root login via password and leaves the default port open.

Sufficient security measures for the server via SSH keys: Do you think it is safe to rely only on key authentication? 

It is true that SSH keys drastically decrease the danger of a successful brute-force attack. However, if there is only key authentication on the server, there are still risks – the server administrator can always enable root login or disable the IP-based login restrictions. So it is recommended to always have these three in the server configuration: disabled root login, restricted access to known IPs, and rotating the keys regularly as the main components of meaningful protection. 

Is it really necessary to set up a separate VPN network while I am able to connect via SSH keys? 

A VPN gives extra security by first encrypting your computer traffic before it reaches your network, where the SSH connection will be used. This is mostly important when working on untrusted networks – like public wi-fi – where there is a threat of a potential hacker in your local network looking at your data.

Bastion host vs VPN as methods of accessing the server? 

The bastion host works by funneling SSH sessions from many users through a single, carefully monitored server point while the rest of the network (and mostly the servers) remains protected from the internet. At the same time, a vpn will fully encrypt the communication between the user and the corporate network or servers. The combination is very common among larger security teams as a part of the defense-in-depth principle. 

How often should SSH keys be rotated? 

The ideal period to change your SSH keys depends on the security practices of your organization, but generally a good practice is to change SSH keys between 90 and 180 days, or in the case that the user who had access with the key leaves or is no longer able to be contacted, such as when a team member leaves.

Why is only changing the port number for SSH enough to secure that port?

Changing the port reduces automated scanning noise in your logs but isn’t a real security control on its own — port scanners check all ports, so it should never replace key-based auth and firewall rules.

#Secure #Remote #Access #Cloud #ServerCloud,remote access

Post Comment