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Keep Your Home Safe and Dry With the Best Water Leak Detectors

Keep Your Home Safe and Dry With the Best Water Leak Detectors

Other Leak Detectors We Like

TP-Link Tapo T300 Water Leak Detector

Photograph: Simon Hill

TP-Link Tapo T300 Water Leak Detector for $20: What I like most about these water leak detectors is that they have four metal probes underneath and two above, so they swiftly detect water dripping on top or pooling beneath. Alerts came through reliably to my phone as push notifications within one to two seconds. The alarm is fairly loud (90 decibels), though you can reduce the volume in the app or even mute it. The TP-Link Tapo T300 requires a Tapo Smart Hub to function. Each hub can link up to 64 Tapo motion sensors, door or window sensors, switches, and other devices. The hub is a simple rectangular device that plugs directly into an outlet and connects to your Wi-Fi network. It doesn’t sound an alarm by default, but you can mirror the sensor’s alerts in the Tapo app. Another feature I like is the option to push the button on top of the sensor to have the hub confirm that it is within range. Each T300 sensor requires two AAA batteries (included) that TP-Link says can last for up to three years. There is a battery icon in the app to show the remaining power and warn when it is running low. As well as having the water leak alarm trigger your hub to sound, you can have it turn off devices in the vicinity if they are connected to Tapo smart plugs (I tested this, and it worked as expected). The T300 is a bit bulky, so it might not fit everywhere you’d like to place a sensor, and it continued to show as functioning normally in the app for several hours after I removed its batteries.

Eve Water Guard for $110: With HomeKit support, this is a good choice for iPhone owners with a home hub (an Apple TV or HomePod). HomeKit is also ideal if you have privacy concerns because you can be certain no data will be shared with third parties. There is an Eve app, but you can also view the Water Guard and set notifications directly through the Apple Home app. It plugs directly into an outlet and has a 6.5-foot cable that senses any water and immediately alerts you on your iPhone, iPad, and Apple Watch, wherever you are, provided you have a working home hub. It also flashes red and has a 100-decibel siren. You can review alarm history, test or mute alarms, and update device firmware in the Eve app. The Eve Water Guard only detects water, but the sensing cable works well, triggering quick alerts and covering a large area. It needs a power outlet, which also limits your placement options, but you never need to worry about battery life. The obvious drawbacks are the complete lack of support for Android, the fact that you need a home hub for remote alerts and management, and the relatively high price. You can also add 6.5-foot sensing cable extensions ($20 each) up to a total length of 500 feet.

Govee Wi-Fi Water Sensor (3-Pack) for $55: Quick and easy to install, Govee’s sensors send alerts as push notifications and emails. They also boast one of the loudest sirens I tested (100 decibels). Mercifully, you can shut off the ear-splitting sound from the app. The sensors are quite small, and they offer drip detection on top and metal feet for leak detection underneath, but there’s no option to add a disc or cable. The Govee Wi-Fi Water Sensors only detect water, but they are effective. I found alerts triggered within a few seconds. The app is basic but works well and displays alert history. Unfortunately, these sensors require a Govee Wi-Fi hub (included in the box), which takes up a power outlet (and may block an adjacent outlet), and each sensor takes two AA batteries (also provided). One concern with these sensors is that I failed to receive alerts when my phone was connected to mobile data rather than Wi-Fi, though the email did come through. There’s also no smart home integration. You can add additional individual sensors at $13 each or buy five for $50.

Three different water leak detecting devices in a variety of shapes one with a long cord

First Alert L1 Wi-Fi Water Leak and Freeze Detector

Photograph: Simon Hill

First Alert L1 Wi-Fi Water Leak and Freeze Detector for $75: This large flood sensor, branded First Alert, works with First Alert or Resideo apps and accessories. It sends push notifications and emails to alert you to any leak and sports a 100-decibel alarm that you can stop with the side button. The sensor was relatively slow to alert in all my tests, and the push notifications only came through when my phone was connected to Wi-Fi. The 5-foot water-sensing cable allows you to cover a much larger area, and I found it alerted faster. The detector connects directly to Wi-Fi, so you need a decent signal. This sensor can also track temperature and humidity, but not very accurately (it consistently overestimates temperature and underestimates humidity). The two AA batteries provided are supposed to last up to two years.

Eufy Security Water and Freeze Sensor for $35: If you have Eufy’s security system, this could be the best water leak detector for you, but it requires a HomeBase 2 or HomeBase 3 ($150) to connect to. It proved quick and reliable to alert, offers long-range connectivity (up to 200 meters), and can warn you if the temperature drops below freezing. You receive alerts on your phone via the Eufy Security app, and you can configure the connected HomeBase to sound an alarm, but the detector doesn’t make any sound. You can track battery life in the app. A full battery lasts up to two years. Sadly, it doesn’t show the temperature; it simply alerts below freezing.

Ikea Badring for $9: Super affordable, with a simple design, this Zigbee detector alerted reliably during testing. The Ikea Badring is a good choice if you already have an Ikea Dirigea hub ($109) to connect to for notifications on your phone. But it works out quite pricey if you don’t, and it’s not compatible with other hubs, such as the Ikea Tradfri. It does have an alert sound that goes as high as 90 decibels, but only at proximity; it doesn’t carry far, and I wouldn’t rely on it alone. You must supply your own AAA battery, and this leak detector is only IP44 rated, so there’s a risk of malfunction if it gets immersed.

SwitchBot Water Leak Detector for $18: This rectangular detector triggered swift alerts in all my tests with a 100-decibel alarm. With prongs on top and underneath, this device was quick to detect water. It connects directly to Wi-Fi, so you don’t need a hub, and it can send push notifications and emails, though you must set them up in the app. Unfortunately, the push notifications did not come through when I was out of the house, connected to a cellular network instead of Wi-Fi. Smart home connectivity is good (Amazon Alexa, Google Assistant, and IFTTT), and you can set up automation in the SwitchBot app, which makes this a versatile option, particularly if you have other SwitchBot devices. SwitchBot says the two AAA batteries provided are good for up to two years.

AiDot Winees Water Leak Detector S1 Plus (3 Pack) for $60: Connect the plug-in hub to your 2.4-GHz Wi-Fi, place the three circular detectors in likely leak spots, and you are set. You can pair up to 10 with the hub and configure it to send emails and SMS messages on top of app notifications when there’s a leak. The probes on the underside of each detector are quite far apart, and it takes 2 millimeters of water before the alarm is triggered. It failed to go off with a steady drip on top, but the alarm sounded as soon as water pooled underneath. The alarm goes up to 100 decibels, but I like that you can tweak the volume and duration for alarms. You can cancel alarms through the app or by pressing the buttons on the hub. These detectors take CR2 batteries that are good for up to a year, and there’s an indication in the app when they die. When I removed a battery from one of them, it took the app a few hours to update and show it as offline. One last downside is that the hub is circular, so it may block adjacent outlets. Support for IFTTT is a potentially handy extra that could trigger a water shut-off or a light to flash red when a leak is detected.

Aqara Water Leak Sensor for $19: This Zigbee sensor is best used with Apple’s HomeKit, and you need an Aqara hub (sold separately). The company makes a good security camera that doubles as a hub and offers a full range of smart home sensors. These small circular water leak sensors are very low to the ground, so just 0.5 mm of water underneath is enough to trigger an alarm. Dripping on top won’t set them off, but an iPhone notification is triggered as soon as water pools beneath where the probes are. You can also have your connected hub play an alarm and trigger automations through HomeKit. The sensors take CR2 batteries and can last up to two years.

Stitch by Monoprice Water Leak Sensor for $22: This affordable water leak detector has a design that’s similar to our top pick. The main body is round, with metal feet to detect water pooling, and it slots into a bracket for wall mounting. It comes with a coin-sized plug-in extension that stretches up to 3.8 feet. Both the main detector and extension were quick to sound the alarm and send notifications to my phone when wet (though the on-device alarm is not very loud). It takes a single CR2 battery, displays the remaining power in the app, and alerts you when it’s time to change batteries. Unfortunately, the app is basic and poorly translated. You have to dry the detector to stop the alarm, and it took too long to warn me when it went offline (weirdly, the offline detector is toggled off by default in the app settings, so I had to switch it on). You can get this a bit cheaper by buying directly from Monoprice.

Leak Detectors to Avoid

We did not have a great experience with every water leak detector we tested.

Image may contain Rope Adapter Electronics Hardware and Phone

Photograph: Simon Hill

Shelly Flood Gen 4: Shelly’s fourth-generation leak detector sounds great on paper, with support for Matter and impressive connectivity via Zigbee, Bluetooth, and dual-band Wi-Fi. I had no issues setting it up in my Google Home app by scanning the Matter QR code. Each IP44-rated unit requires four AA batteries (included), and you stick or screw it to the wall, and plug the extendable 6.5-foot leak detection cable into the bottom to trail around the area you want to monitor. While the detector correctly sounded an alarm when I dripped water on top, no alert came through the Home app, and it continued to show “No leak.” Multiple tests with two different detectors failed to alert through the Home app, making this impossible to recommend. I also tried setting up through the Shelly app, but it refused to load.

Swann Leak Alert Sensor: While this battery-powered water detector (two AAAs) is affordable, I had a terrible time setting it up. Your phone must be on 2.4-GHz Wi-Fi, but even then, it took me multiple attempts to connect. Frustratingly, you must remove the screw panel to reset it, because there’s no option in the app. Alerts came through to my phone around a minute after I soaked the sensor, but the Swann app is slow and clunky.


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Well, having tried the Halliday Gen 2, I’m happy to report these are better glasses. That secret display window is gone, replaced by more traditional but discreet waveguides. They’re not like the Meta Display’s nigh-invisible screens. You can still spot the reflection if angled just right, but they’re considerably easier to see. And inside of a single-lens display, the Gen 2 has one for each eye, giving you a much larger screen to look at. Spec-wise, the Gen 2’s displays are monochrome green, with a maximum brightness of 1,600 nits and 600 by 300 pixel resolution per eye.

On my face, the Gen 2 has a nondescript design but is very lightweight compared to other display glasses I’ve tried. The display was also easily visible inside a dark bar, though I didn’t get a chance to see how it’d fare in direct sunlight. The four-mic array was able to pick up commands despite the ambient noise, and Halliday told me that it gets about 12 hours of typical use. That’s partly because these aren’t camera glasses. The exclusion of the camera was a deliberate choice, both for privacy and to extend battery life. That’s because these are more so meant to be a tool for work meetings.

With the Gen 2, Halliday is launching a feature called Meeting Flow. It’s meant to help you follow along in a conversation, using AI to surface context or facts without needing to look at your laptop or phone. I’ve seen this in other smart glasses to varying degrees of success. (Mostly non-success.) More interesting are the so-called Thread Tracker, Decision Confirmation, and Commitment Check features. The idea is to provide real-time updates about what decisions have been made in a meeting, what items need following up on, and a visualization of a meeting’s overall conversation flow. For example, Thread Tracker might show that a team meeting started off talking about budget allocations, before moving on to potential new hires and timelines for those hires. Decision Confirmation might show that the meeting concluded that all new hires should be finished by a specific date. Lastly, Commitment Check verifies if action items have been assigned (and to whom) with a clear deadline. The glasses will also provide post-meeting transcripts and summaries.

I saw a brief glimpse of what this could look like at my demo, albeit a product interview is less conducive to these kinds of features than a typical planning meeting. That said, the glasses also support more general-use AI features like captioning, real-time translations for over 45 languages, the ability to take phone calls, and teleprompters/notecards for public speakers. Users can also make use of the Halliday AI assistant for voice control.

Overall, this is a much more tightly focused vision for a pair of smart glasses than Halliday’s original glasses. That said, we’ll have to see if the AI features are all that useful. So far, I’ve had little success with AI wearables successfully intuiting what I actually need surfaced in a conversation, or deriving the correct conclusions for to-do items. And at $599, the Gen 2 comes with a pretty steep price tag for the average person. That’s not including any extra costs for prescription lenses. (Halliday claims it’ll be able to handle my prescription, which is -10 in one eye and -8.75 in the other with monster astigmatism. We shall see!)

The Halliday Gen 2 are available for preorder starting today with a $10 deposit and a subsequent $100 discount on the final price. The glasses are expected to ship in September.

#Hallidays #latest #smart #glasses #feature #muchimproved #displayAI,Gadgets,Hands-on,News,Reviews,Tech,Wearable">Halliday’s latest smart glasses feature a much-improved displayI first slipped on Halliday’s original smart glasses at CES 2025. I was not a fan. The glasses had a tiny, movable display window embedded into the frame that was incredibly finicky to see, and my 30-minute demo left me with achy eyeballs. It was an interesting concept with terrible execution, especially compared to the several other smart glasses on the show floor. So I was skeptical when a few weeks ago, Halliday reached out to say its second attempt at smart glasses was much better.Well, having tried the Halliday Gen 2, I’m happy to report these are better glasses. That secret display window is gone, replaced by more traditional but discreet waveguides. They’re not like the Meta Display’s nigh-invisible screens. You can still spot the reflection if angled just right, but they’re considerably easier to see. And inside of a single-lens display, the Gen 2 has one for each eye, giving you a much larger screen to look at. Spec-wise, the Gen 2’s displays are monochrome green, with a maximum brightness of 1,600 nits and 600 by 300 pixel resolution per eye.On my face, the Gen 2 has a nondescript design but is very lightweight compared to other display glasses I’ve tried. The display was also easily visible inside a dark bar, though I didn’t get a chance to see how it’d fare in direct sunlight. The four-mic array was able to pick up commands despite the ambient noise, and Halliday told me that it gets about 12 hours of typical use. That’s partly because these aren’t camera glasses. The exclusion of the camera was a deliberate choice, both for privacy and to extend battery life. That’s because these are more so meant to be a tool for work meetings.With the Gen 2, Halliday is launching a feature called Meeting Flow. It’s meant to help you follow along in a conversation, using AI to surface context or facts without needing to look at your laptop or phone. I’ve seen this in other smart glasses to varying degrees of success. (Mostly non-success.) More interesting are the so-called Thread Tracker, Decision Confirmation, and Commitment Check features. The idea is to provide real-time updates about what decisions have been made in a meeting, what items need following up on, and a visualization of a meeting’s overall conversation flow. For example, Thread Tracker might show that a team meeting started off talking about budget allocations, before moving on to potential new hires and timelines for those hires. Decision Confirmation might show that the meeting concluded that all new hires should be finished by a specific date. Lastly, Commitment Check verifies if action items have been assigned (and to whom) with a clear deadline. The glasses will also provide post-meeting transcripts and summaries.I saw a brief glimpse of what this could look like at my demo, albeit a product interview is less conducive to these kinds of features than a typical planning meeting. That said, the glasses also support more general-use AI features like captioning, real-time translations for over 45 languages, the ability to take phone calls, and teleprompters/notecards for public speakers. Users can also make use of the Halliday AI assistant for voice control.Overall, this is a much more tightly focused vision for a pair of smart glasses than Halliday’s original glasses. That said, we’ll have to see if the AI features are all that useful. So far, I’ve had little success with AI wearables successfully intuiting what I actually need surfaced in a conversation, or deriving the correct conclusions for to-do items. And at 9, the Gen 2 comes with a pretty steep price tag for the average person. That’s not including any extra costs for prescription lenses. (Halliday claims it’ll be able to handle my prescription, which is -10 in one eye and -8.75 in the other with monster astigmatism. We shall see!)The Halliday Gen 2 are available for preorder starting today with a  deposit and a subsequent 0 discount on the final price. The glasses are expected to ship in September.#Hallidays #latest #smart #glasses #feature #muchimproved #displayAI,Gadgets,Hands-on,News,Reviews,Tech,Wearable

Halliday’s original smart glasses at CES 2025. I was not a fan. The glasses had a tiny, movable display window embedded into the frame that was incredibly finicky to see, and my 30-minute demo left me with achy eyeballs. It was an interesting concept with terrible execution, especially compared to the several other smart glasses on the show floor. So I was skeptical when a few weeks ago, Halliday reached out to say its second attempt at smart glasses was much better.

Well, having tried the Halliday Gen 2, I’m happy to report these are better glasses. That secret display window is gone, replaced by more traditional but discreet waveguides. They’re not like the Meta Display’s nigh-invisible screens. You can still spot the reflection if angled just right, but they’re considerably easier to see. And inside of a single-lens display, the Gen 2 has one for each eye, giving you a much larger screen to look at. Spec-wise, the Gen 2’s displays are monochrome green, with a maximum brightness of 1,600 nits and 600 by 300 pixel resolution per eye.

On my face, the Gen 2 has a nondescript design but is very lightweight compared to other display glasses I’ve tried. The display was also easily visible inside a dark bar, though I didn’t get a chance to see how it’d fare in direct sunlight. The four-mic array was able to pick up commands despite the ambient noise, and Halliday told me that it gets about 12 hours of typical use. That’s partly because these aren’t camera glasses. The exclusion of the camera was a deliberate choice, both for privacy and to extend battery life. That’s because these are more so meant to be a tool for work meetings.

With the Gen 2, Halliday is launching a feature called Meeting Flow. It’s meant to help you follow along in a conversation, using AI to surface context or facts without needing to look at your laptop or phone. I’ve seen this in other smart glasses to varying degrees of success. (Mostly non-success.) More interesting are the so-called Thread Tracker, Decision Confirmation, and Commitment Check features. The idea is to provide real-time updates about what decisions have been made in a meeting, what items need following up on, and a visualization of a meeting’s overall conversation flow. For example, Thread Tracker might show that a team meeting started off talking about budget allocations, before moving on to potential new hires and timelines for those hires. Decision Confirmation might show that the meeting concluded that all new hires should be finished by a specific date. Lastly, Commitment Check verifies if action items have been assigned (and to whom) with a clear deadline. The glasses will also provide post-meeting transcripts and summaries.

I saw a brief glimpse of what this could look like at my demo, albeit a product interview is less conducive to these kinds of features than a typical planning meeting. That said, the glasses also support more general-use AI features like captioning, real-time translations for over 45 languages, the ability to take phone calls, and teleprompters/notecards for public speakers. Users can also make use of the Halliday AI assistant for voice control.

Overall, this is a much more tightly focused vision for a pair of smart glasses than Halliday’s original glasses. That said, we’ll have to see if the AI features are all that useful. So far, I’ve had little success with AI wearables successfully intuiting what I actually need surfaced in a conversation, or deriving the correct conclusions for to-do items. And at $599, the Gen 2 comes with a pretty steep price tag for the average person. That’s not including any extra costs for prescription lenses. (Halliday claims it’ll be able to handle my prescription, which is -10 in one eye and -8.75 in the other with monster astigmatism. We shall see!)

The Halliday Gen 2 are available for preorder starting today with a $10 deposit and a subsequent $100 discount on the final price. The glasses are expected to ship in September.

#Hallidays #latest #smart #glasses #feature #muchimproved #displayAI,Gadgets,Hands-on,News,Reviews,Tech,Wearable">Halliday’s latest smart glasses feature a much-improved display

I first slipped on Halliday’s original smart glasses at CES 2025. I was not a fan. The glasses had a tiny, movable display window embedded into the frame that was incredibly finicky to see, and my 30-minute demo left me with achy eyeballs. It was an interesting concept with terrible execution, especially compared to the several other smart glasses on the show floor. So I was skeptical when a few weeks ago, Halliday reached out to say its second attempt at smart glasses was much better.

Well, having tried the Halliday Gen 2, I’m happy to report these are better glasses. That secret display window is gone, replaced by more traditional but discreet waveguides. They’re not like the Meta Display’s nigh-invisible screens. You can still spot the reflection if angled just right, but they’re considerably easier to see. And inside of a single-lens display, the Gen 2 has one for each eye, giving you a much larger screen to look at. Spec-wise, the Gen 2’s displays are monochrome green, with a maximum brightness of 1,600 nits and 600 by 300 pixel resolution per eye.

On my face, the Gen 2 has a nondescript design but is very lightweight compared to other display glasses I’ve tried. The display was also easily visible inside a dark bar, though I didn’t get a chance to see how it’d fare in direct sunlight. The four-mic array was able to pick up commands despite the ambient noise, and Halliday told me that it gets about 12 hours of typical use. That’s partly because these aren’t camera glasses. The exclusion of the camera was a deliberate choice, both for privacy and to extend battery life. That’s because these are more so meant to be a tool for work meetings.

With the Gen 2, Halliday is launching a feature called Meeting Flow. It’s meant to help you follow along in a conversation, using AI to surface context or facts without needing to look at your laptop or phone. I’ve seen this in other smart glasses to varying degrees of success. (Mostly non-success.) More interesting are the so-called Thread Tracker, Decision Confirmation, and Commitment Check features. The idea is to provide real-time updates about what decisions have been made in a meeting, what items need following up on, and a visualization of a meeting’s overall conversation flow. For example, Thread Tracker might show that a team meeting started off talking about budget allocations, before moving on to potential new hires and timelines for those hires. Decision Confirmation might show that the meeting concluded that all new hires should be finished by a specific date. Lastly, Commitment Check verifies if action items have been assigned (and to whom) with a clear deadline. The glasses will also provide post-meeting transcripts and summaries.

I saw a brief glimpse of what this could look like at my demo, albeit a product interview is less conducive to these kinds of features than a typical planning meeting. That said, the glasses also support more general-use AI features like captioning, real-time translations for over 45 languages, the ability to take phone calls, and teleprompters/notecards for public speakers. Users can also make use of the Halliday AI assistant for voice control.

Overall, this is a much more tightly focused vision for a pair of smart glasses than Halliday’s original glasses. That said, we’ll have to see if the AI features are all that useful. So far, I’ve had little success with AI wearables successfully intuiting what I actually need surfaced in a conversation, or deriving the correct conclusions for to-do items. And at $599, the Gen 2 comes with a pretty steep price tag for the average person. That’s not including any extra costs for prescription lenses. (Halliday claims it’ll be able to handle my prescription, which is -10 in one eye and -8.75 in the other with monster astigmatism. We shall see!)

The Halliday Gen 2 are available for preorder starting today with a $10 deposit and a subsequent $100 discount on the final price. The glasses are expected to ship in September.

#Hallidays #latest #smart #glasses #feature #muchimproved #displayAI,Gadgets,Hands-on,News,Reviews,Tech,Wearable
One of the most important things happening on Earth today is the solar energy build-out. Around the world, companies and countries are racing to deploy solar and batteries to achieve energy independence and limit the effects of climate change.

That build-out, though, is running into a labor market challenge, with a limited supply of workers to meet a growing demand for installation. Robots could be an answer, but industrial robots have historically struggled in unstructured environments, at least until now. The latest generation of AI models may have changed that equation.

That’s the driving idea behind Gritt, a start-up founded by two Carnegie Mellon-trained roboticists, CEO Puneet Puri and CTO Vishal Dugar. The company exited stealth Tuesday morning with a $26 million Series A round of funding led by Obvious Ventures with participation from Union Square Ventures and Active Impact Investment. That brings its total funding to $34 million, following an earlier seed round backed by First Round Capital, Climactic, Congruent Ventures, and VSC Ventures. The startup is building an intelligent system to “help civilization build infrastructure faster,” in Puri’s words.

“Our thesis is that if we truly want to speed up construction,” Puri tells TechCrunch, “you need an intelligence which can work in the outdoor, chaotic environments of these construction sites, and it has to be generalizable enough that it can work in these varied environments.”

Rather than building its own robots from scratch, Gritt uses off-the-shelf hardware—thus far, rented skidders and robotic arms built by companies like Kawasaki—to build platforms that are controlled by its AI models. The first job its systems handle is unloading large, glass solar panels, carrying them toward the metal frames where they need to be installed, and positioning them on the frames with sub-millimeter accuracy so workers can fasten them.

“There are people who used to build rockets that went into space and had infinite budget for the smallest little part, and then there are people who know what it means to get into dirty, dull, and dangerous jobs and scale them like mad,” said Andrew Beebe, the partner at Obvious Ventures who led Gritt’s Series A round. “These guys are in the second camp, and that’s a special kind of entrepreneur that has the technical chops, the AI, and the machine vision skills to make it work.”

Gritt has two systems currently deployed in the field, using the data they collect to improve their behavior. Puri says that a typical eight-person crew workers can install 800 panels a day, but the same crew working with Gritt’s systems can install 3,000 to 4,000 panels each day.

Now, the company says it is contracted to help install 2.8 gigawatts of solar panels in the next 18 months, and that its customers include three of the top 10 US power construction companies. The company hopes to be operating 48 of its systems within the next six months.

TechCrunch spoke to one Gritt customer who declined to be identified for competitive reasons, but who was enthusiastic about the system’s ability to improve his work. He expects it to be easier to work at remote sites where it is difficult to attract workers, and anticipates a reduction in injuries since workers won’t have to repeatedly lift 100-pound panels overhead.

Gritt is competing against companies with their own panel-installing robots like Luminous Robotics, Cosmic, and China’s Trinabot. Those companies are building their own hardware, rather than focusing on off-the-shelf vehicles and arms like Gritt, a difference that could shape who grows faster and with a leaner cost structure as demand grows.

Gritt wants to add new manipulation tasks to its system so it can fasten the solar panels, drill posts, and even build the racks they sit on. Longer term, it also wants to move into other common, labor-intensive construction tasks, like tying rebar before concrete is poured over it.

What’s enabled the startup to pursue this vision? Mainly, the rise of new AI models, the founders say.

“Making a system for one solution was still possible to some extent five years ago, right?” Puri said, but AI is now making that work generalizable — the same underlying pipeline can be reused and improve across tasks. As an example, he noted that training the system to stack cinder blocks took weeks, while a similar demo with rebar tying took just a day using the same software.

But training new tasks is just the beginning of Gritt’s vision. The founders believe the suite of sensors and intelligence its systems bring to worksites can do more than install panels; it can boost management and decision-making. For instance, they imagine their system noticing a trench is open while a storm approaches, allowing it to alert workers to cover it before rain damages components, or flagging missing inventory.

“Gritt becomes now this layer of physical AI, which is doing this dextrous, labor-intensive task, plus it can help you take decisions on the site,” Puri said.

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

#Gritt #exits #stealth #million #robots #build #solar #plantsthen #TechCrunchExclusive">Gritt exits stealth with  million for robots to build solar plants—then, everything else | TechCrunch
One of the most important things happening on Earth today is the solar energy build-out. Around the world, companies and countries are racing to deploy solar and batteries to achieve energy independence and limit the effects of climate change.

That build-out, though, is running into a labor market challenge, with a limited supply of workers to meet a growing demand for installation. Robots could be an answer, but industrial robots have historically struggled in unstructured environments, at least until now. The latest generation of AI models may have changed that equation.







That’s the driving idea behind Gritt, a start-up founded by two Carnegie Mellon-trained roboticists, CEO Puneet Puri and CTO Vishal Dugar. The company exited stealth Tuesday morning with a  million Series A round of funding led by Obvious Ventures with participation from Union Square Ventures and Active Impact Investment. That brings its total funding to  million, following an earlier seed round backed by First Round Capital, Climactic, Congruent Ventures, and VSC Ventures. The startup is building an intelligent system to “help civilization build infrastructure faster,” in Puri’s words.

“Our thesis is that if we truly want to speed up construction,” Puri tells TechCrunch, “you need an intelligence which can work in the outdoor, chaotic environments of these construction sites, and it has to be generalizable enough that it can work in these varied environments.”

Rather than building its own robots from scratch, Gritt uses off-the-shelf hardware—thus far, rented skidders and robotic arms built by companies like Kawasaki—to build platforms that are controlled by its AI models. The first job its systems handle is unloading large, glass solar panels, carrying them toward the metal frames where they need to be installed, and positioning them on the frames with sub-millimeter accuracy so workers can fasten them.

“There are people who used to build rockets that went into space and had infinite budget for the smallest little part, and then there are people who know what it means to get into dirty, dull, and dangerous jobs and scale them like mad,” said Andrew Beebe, the partner at Obvious Ventures who led Gritt’s Series A round. “These guys are in the second camp, and that’s a special kind of entrepreneur that has the technical chops, the AI, and the machine vision skills to make it work.”

Gritt has two systems currently deployed in the field, using the data they collect to improve their behavior. Puri says that a typical eight-person crew workers can install 800 panels a day, but the same crew working with Gritt’s systems can install 3,000 to 4,000 panels each day.


Now, the company says it is contracted to help install 2.8 gigawatts of solar panels in the next 18 months, and that its customers include three of the top 10 US power construction companies. The company hopes to be operating 48 of its systems within the next six months.

TechCrunch spoke to one Gritt customer who declined to be identified for competitive reasons, but who was enthusiastic about the system’s ability to improve his work. He expects it to be easier to work at remote sites where it is difficult to attract workers, and anticipates a reduction in injuries since workers won’t have to repeatedly lift 100-pound panels overhead.

Gritt is competing against companies with their own panel-installing robots like Luminous Robotics, Cosmic, and China’s Trinabot. Those companies are building their own hardware, rather than focusing on off-the-shelf vehicles and arms like Gritt, a difference that could shape who grows faster and with a leaner cost structure as demand grows.







Gritt wants to add new manipulation tasks to its system so it can fasten the solar panels, drill posts, and even build the racks they sit on. Longer term, it also wants to move into other common, labor-intensive construction tasks, like tying rebar before concrete is poured over it.

What’s enabled the startup to pursue this vision? Mainly, the rise of new AI models, the founders say.

“Making a system for one solution was still possible to some extent five years ago, right?” Puri said, but AI is now making that work generalizable — the same underlying pipeline can be reused and improve across tasks. As an example, he noted that training the system to stack cinder blocks took weeks, while a similar demo with rebar tying took just a day using the same software.

But training new tasks is just the beginning of Gritt’s vision. The founders believe the suite of sensors and intelligence its systems bring to worksites can do more than install panels; it can boost management and decision-making. For instance, they imagine their system noticing a trench is open while a storm approaches, allowing it to alert workers to cover it before rain damages components, or flagging missing inventory.

“Gritt becomes now this layer of physical AI, which is doing this dextrous, labor-intensive task, plus it can help you take decisions on the site,” Puri said. 
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Gritt #exits #stealth #million #robots #build #solar #plantsthen #TechCrunchExclusive

Gritt, a start-up founded by two Carnegie Mellon-trained roboticists, CEO Puneet Puri and CTO Vishal Dugar. The company exited stealth Tuesday morning with a $26 million Series A round of funding led by Obvious Ventures with participation from Union Square Ventures and Active Impact Investment. That brings its total funding to $34 million, following an earlier seed round backed by First Round Capital, Climactic, Congruent Ventures, and VSC Ventures. The startup is building an intelligent system to “help civilization build infrastructure faster,” in Puri’s words.

“Our thesis is that if we truly want to speed up construction,” Puri tells TechCrunch, “you need an intelligence which can work in the outdoor, chaotic environments of these construction sites, and it has to be generalizable enough that it can work in these varied environments.”

Rather than building its own robots from scratch, Gritt uses off-the-shelf hardware—thus far, rented skidders and robotic arms built by companies like Kawasaki—to build platforms that are controlled by its AI models. The first job its systems handle is unloading large, glass solar panels, carrying them toward the metal frames where they need to be installed, and positioning them on the frames with sub-millimeter accuracy so workers can fasten them.

“There are people who used to build rockets that went into space and had infinite budget for the smallest little part, and then there are people who know what it means to get into dirty, dull, and dangerous jobs and scale them like mad,” said Andrew Beebe, the partner at Obvious Ventures who led Gritt’s Series A round. “These guys are in the second camp, and that’s a special kind of entrepreneur that has the technical chops, the AI, and the machine vision skills to make it work.”

Gritt has two systems currently deployed in the field, using the data they collect to improve their behavior. Puri says that a typical eight-person crew workers can install 800 panels a day, but the same crew working with Gritt’s systems can install 3,000 to 4,000 panels each day.

Now, the company says it is contracted to help install 2.8 gigawatts of solar panels in the next 18 months, and that its customers include three of the top 10 US power construction companies. The company hopes to be operating 48 of its systems within the next six months.

TechCrunch spoke to one Gritt customer who declined to be identified for competitive reasons, but who was enthusiastic about the system’s ability to improve his work. He expects it to be easier to work at remote sites where it is difficult to attract workers, and anticipates a reduction in injuries since workers won’t have to repeatedly lift 100-pound panels overhead.

Gritt is competing against companies with their own panel-installing robots like Luminous Robotics, Cosmic, and China’s Trinabot. Those companies are building their own hardware, rather than focusing on off-the-shelf vehicles and arms like Gritt, a difference that could shape who grows faster and with a leaner cost structure as demand grows.

Gritt wants to add new manipulation tasks to its system so it can fasten the solar panels, drill posts, and even build the racks they sit on. Longer term, it also wants to move into other common, labor-intensive construction tasks, like tying rebar before concrete is poured over it.

What’s enabled the startup to pursue this vision? Mainly, the rise of new AI models, the founders say.

“Making a system for one solution was still possible to some extent five years ago, right?” Puri said, but AI is now making that work generalizable — the same underlying pipeline can be reused and improve across tasks. As an example, he noted that training the system to stack cinder blocks took weeks, while a similar demo with rebar tying took just a day using the same software.

But training new tasks is just the beginning of Gritt’s vision. The founders believe the suite of sensors and intelligence its systems bring to worksites can do more than install panels; it can boost management and decision-making. For instance, they imagine their system noticing a trench is open while a storm approaches, allowing it to alert workers to cover it before rain damages components, or flagging missing inventory.

“Gritt becomes now this layer of physical AI, which is doing this dextrous, labor-intensive task, plus it can help you take decisions on the site,” Puri said.

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

#Gritt #exits #stealth #million #robots #build #solar #plantsthen #TechCrunchExclusive">Gritt exits stealth with $34 million for robots to build solar plants—then, everything else | TechCrunch

One of the most important things happening on Earth today is the solar energy build-out. Around the world, companies and countries are racing to deploy solar and batteries to achieve energy independence and limit the effects of climate change.

That build-out, though, is running into a labor market challenge, with a limited supply of workers to meet a growing demand for installation. Robots could be an answer, but industrial robots have historically struggled in unstructured environments, at least until now. The latest generation of AI models may have changed that equation.

That’s the driving idea behind Gritt, a start-up founded by two Carnegie Mellon-trained roboticists, CEO Puneet Puri and CTO Vishal Dugar. The company exited stealth Tuesday morning with a $26 million Series A round of funding led by Obvious Ventures with participation from Union Square Ventures and Active Impact Investment. That brings its total funding to $34 million, following an earlier seed round backed by First Round Capital, Climactic, Congruent Ventures, and VSC Ventures. The startup is building an intelligent system to “help civilization build infrastructure faster,” in Puri’s words.

“Our thesis is that if we truly want to speed up construction,” Puri tells TechCrunch, “you need an intelligence which can work in the outdoor, chaotic environments of these construction sites, and it has to be generalizable enough that it can work in these varied environments.”

Rather than building its own robots from scratch, Gritt uses off-the-shelf hardware—thus far, rented skidders and robotic arms built by companies like Kawasaki—to build platforms that are controlled by its AI models. The first job its systems handle is unloading large, glass solar panels, carrying them toward the metal frames where they need to be installed, and positioning them on the frames with sub-millimeter accuracy so workers can fasten them.

“There are people who used to build rockets that went into space and had infinite budget for the smallest little part, and then there are people who know what it means to get into dirty, dull, and dangerous jobs and scale them like mad,” said Andrew Beebe, the partner at Obvious Ventures who led Gritt’s Series A round. “These guys are in the second camp, and that’s a special kind of entrepreneur that has the technical chops, the AI, and the machine vision skills to make it work.”

Gritt has two systems currently deployed in the field, using the data they collect to improve their behavior. Puri says that a typical eight-person crew workers can install 800 panels a day, but the same crew working with Gritt’s systems can install 3,000 to 4,000 panels each day.

Now, the company says it is contracted to help install 2.8 gigawatts of solar panels in the next 18 months, and that its customers include three of the top 10 US power construction companies. The company hopes to be operating 48 of its systems within the next six months.

TechCrunch spoke to one Gritt customer who declined to be identified for competitive reasons, but who was enthusiastic about the system’s ability to improve his work. He expects it to be easier to work at remote sites where it is difficult to attract workers, and anticipates a reduction in injuries since workers won’t have to repeatedly lift 100-pound panels overhead.

Gritt is competing against companies with their own panel-installing robots like Luminous Robotics, Cosmic, and China’s Trinabot. Those companies are building their own hardware, rather than focusing on off-the-shelf vehicles and arms like Gritt, a difference that could shape who grows faster and with a leaner cost structure as demand grows.

Gritt wants to add new manipulation tasks to its system so it can fasten the solar panels, drill posts, and even build the racks they sit on. Longer term, it also wants to move into other common, labor-intensive construction tasks, like tying rebar before concrete is poured over it.

What’s enabled the startup to pursue this vision? Mainly, the rise of new AI models, the founders say.

“Making a system for one solution was still possible to some extent five years ago, right?” Puri said, but AI is now making that work generalizable — the same underlying pipeline can be reused and improve across tasks. As an example, he noted that training the system to stack cinder blocks took weeks, while a similar demo with rebar tying took just a day using the same software.

But training new tasks is just the beginning of Gritt’s vision. The founders believe the suite of sensors and intelligence its systems bring to worksites can do more than install panels; it can boost management and decision-making. For instance, they imagine their system noticing a trench is open while a storm approaches, allowing it to alert workers to cover it before rain damages components, or flagging missing inventory.

“Gritt becomes now this layer of physical AI, which is doing this dextrous, labor-intensive task, plus it can help you take decisions on the site,” Puri said.

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

#Gritt #exits #stealth #million #robots #build #solar #plantsthen #TechCrunchExclusive

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