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All the biggest news from AWS’ big tech show re:Invent 2025 | TechCrunch

All the biggest news from AWS’ big tech show re:Invent 2025 | TechCrunch

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Amazon Web Services’ annual tech conference AWS re:Invent has wrapped. And the singular message, amid a deluge of product news and keynotes, was AI for the enterprise.

This year it was all about upgrades that give customers greater control to customize AI agents, including one that AWS claims can learn from you and then work independently for days. Amazon CTO Dr. Werner Vogels capped off the final night with a keynote aimed at lifting up developers and assuaging any fears that AI is coming for engineering jobs.

AWS re:Invent 2025, which runs through December 5, started with a keynote from AWS CEO Matt Garman, who leaned into the idea that AI agents can unlock the “true value” of AI.

“AI assistants are starting to give way to AI agents that can perform tasks and automate on your behalf,” he said during the December 2 keynote. “This is where we’re starting to see material business returns from your AI investments.”

On December 3, the conference pressed on with its AI agents messaging, as well as deeper dives into customer stories. Swami Sivasubramanian, vice president of Agentic AI at AWS, gave one of the keynote talks. To say he was bullish is perhaps understating the vibe.

“We are living in times of great change,” Sivasubramanian said during the talk. “For the first time in history, we can describe what we want to accomplish in natural language, and agents generate the plan. They write the code, call the necessary tools, and execute the complete solution. Agents give you the freedom to build without limits, accelerating how quickly you can go from idea to impact in a big way.”

While AI agent news promises to be a persistent presence throughout AWS re:Invent 2025, there were other announcements, too. Here is a roundup of the ones that got our attention. TechCrunch will update this article, with the newest insights at the top, through the end of AWS re:Invent. Be sure to check back.

Werner out …

Amazon CTO Werner Vogels had the closing keynote of the conference — and it looks like this will be his last one.

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October 13-15, 2026

“This is my final re:Invent keynote,” he said, then quickly added he is not leaving the company. “I’m not leaving Amazon or anything like that, but I think that after 14 re:Invents you guys are owed young, fresh, new voices.”

Vogels then spent more than an hour talking to a packed room before ending with a “Werner, out” and a literal mic drop.

Will AI take your job?

Vogels spent much of the closing keynote talking about AI and its role in the future, including the looming threat that it will take away jobs.

“Will AI take my job? Maybe,” Vogels asked and answered, before noting that some tasks will be automated, and some skills will become obsolete. “So maybe we should rephrase and reframe this question. Will AI make me obsolete? Absolutely not, if you evolve.”

Next-gen CPU

AWS unveiled its Graviton5 CPU on Thursday, the next-generation chip that the company promises will be its highest performing, most efficient yet. The Graviton5 contains 192 processor cores, a dense and efficient design that AWS says reduces the distance data must travel between cores. That helps cut inter-core communication latency by up to 33% while increasing bandwidth, the company said. 

Doubling down on LLMs

AWS announced more tools for enterprise customers to create their own models. Specifically, AWS said it is adding new capabilities for both Amazon Bedrock and Amazon SageMaker AI to make building custom LLMs easier.

For instance, AWS is bringing serverless model customization to SageMaker, which allows developers to start building a model without needing to think about compute resources or infrastructure. The serverless model customization can be accessed through either a self-guided path or by prompting an AI agent.

AWS also announced Reinforcement Fine Tuning in Bedrock, which allows developers to choose a preset workflow or reward system and have Bedrock run their customization process automatically from start to finish.

Andy Jassy shares some numbers

Amazon CEO Andy Jassy took to social media platform X to expound on AWS chief Matt Garman’s keynote speech. The message: The current generation of its Nvidia-competitor AI chip Trainium2 is already bringing in loads of cash.

His comments were tied to the reveal of its next-generation chip, Trainium3, and meant to forecast a promising revenue future for the product.

Database savings arrives

Tucked among the dozens of announcements is one item that is already getting cheers: Discounts.

Specifically, AWS said it was launching Database Savings Plans, which help customers reduce database costs by up to 35% when they commit to a consistent amount of usage ($/hour) over a one-year term. The company said the savings will automatically apply each hour to eligible usage across supported database services, and any additional usage beyond the commitment is billed at on-demand rates.

Corey Quinn, chief cloud economist at Duckbill, summed it up well in his blog post, “Six years of complaining finally pays off.”

Can’t get a better deal than free, Amazon hopes

Is there any way for another AI coding tool to win the hearts of startup founders? Amazon hopes a year’s worth of credits, for free, will do the trick for its offering, Kiro. The company will be giving away credits to Kiro Pro+ to qualified startups that apply for the deal before the end of the month. However, only early-stage startups in certain countries are eligible.

An AI training chip and Nvidia compatibility

AWS introduced a new version of its AI training chip called Trainium3 along with an AI system called UltraServer that runs it. The TL;DR: This upgraded chip comes with some impressive specs, including a promise of up to 4x performance gains for both AI training and inference while lowering energy use by 40%.

AWS also provided a teaser. The company already has Trainium4 in development, which will be able to work with Nvidia’s chips.

Expanded AgentCore capabilities

AWS announced new features in its AgentCore AI agent building platform. One feature of note is Policy in AgentCore, which gives developers the ability to more easily set boundaries for AI agents.

AWS also announced that agents will now be able to log and remember things about their users. Plus it announced that it will help its customers evaluate agents through 13 prebuilt evaluation systems.

A nonstop AI agent worker bee

AWS announced three new AI agents (there is that term again) called “Frontier agents,” including one called “Kiro autonomous agent” that writes code and is designed to learn how a team likes to work so it can operate largely on its own for hours or days.

Another of these new agents handles security processes like code reviews, and the third does DevOps tasks such as preventing incidents when pushing new code live. Preview versions of the agents are available now.

New Nova models and services

AWS is rolling out four new AI models within its Nova AI model family — three of which are text generating and one that can create text and images.

The company also announced a new service called Nova Forge that allows AWS cloud customers to access pre-trained, mid-trained, or post-trained models that they can then top off by training on their own proprietary data. AWS’s big pitch is flexibility and customization.

Lyft’s argument for AI agents

The ride-hailing company was among many AWS customers that piped up during the event to share their success stories and evidence of how products affected their business. Lyft is using Anthropic’s Claude model via Amazon Bedrock to create an AI agent that handles driver and rider questions and issues.

The company said this AI agent has reduced average resolution time by 87%. Lyft also said it has seen a 70% increase in driver usage of the AI agent this year.

An AI Factory for the private data center

Amazon also announced “AI Factories” that allow big corporations and governments to run AWS AI systems in their own data centers.

The system was designed in partnership with Nvidia and includes both Nvidia’s tech and AWS’s. While companies that use it can stock it with Nvidia GPUs, they can also opt for Amazon’s newest homegrown AI chip, the Trainium3. The system is Amazon’s way of addressing data sovereignty, or the need of governments and many companies to control their data and not share it, even to use AI.

Check out the latest reveals on everything from agentic AI and cloud infrastructure to security and much more from the flagship Amazon Web Services event in Las Vegas. This video is brought to you in partnership with AWS.

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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
introducing the ASUS Pad T3201. The new tablet combines a premium OLED screen, performance, and portability. It has been built using the MediaTek Dimensity 8300 SoC and targets those users who like to stream, game, study, and work while traveling. The tablet’s launch date is set for August 6.

ASUS Pad T3201 Specifications and Features

ASUS Pad T3201 Launched in India With OLED Display: Price, Features, and Availability ASUS has expanded its product lineup in India by introducing the ASUS Pad T3201. The new tablet combines a premium OLED screen, performance, and portability. It has been built using the MediaTek Dimensity 8300 SoC and targets those users who like to stream, game, study, and work while traveling. The tablet’s launch date is set for August 6. ASUS Pad T3201 Specifications and Features ASUS has designed the Pad T3201 for both entertainment and productivity. It is equipped with a 12.2-inch dual-layer OLED screen featuring 2.8K resolution and a 144 Hz refresh rate. The display can deliver up to 2,000 nits of brightness and support the 100% DCI-P3 color gamut, making it perfect for entertainment such as watching movies, gaming, and reading. The phone runs on the MediaTek Dimensity 8300 chipset and features 8 GB of LPDDR5X RAM. It runs on Android 16 and ensures efficient use for the user. ASUS has also equipped the device with Wi-Fi 6E, which provides a reliable, fast internet connection. Buyers can choose 128GB or 256GB storage, while a microSD card expands storage up to 1TB. The ASUS Pad T3201 packs a 9,000mAh battery with 45W fast charging support. ASUS says the battery charges from 0 to 50 percent in about 30 minutes. The tablet weighs 523g and measures 6.5mm thin, making it easy to carry. It also includes quad speakers with Dolby Atmos for immersive sound. For photography and communication, the tablet includes a 13MP rear camera and a 5MP front camera. It supports ASUS Pen 2.0, a Bluetooth keyboard, and GlideX for seamless file sharing. ASUS also bundles a protective folio case with the device. Users can also use Google Circle to Search without switching apps. Launch and Availability The ASUS Pad T3201 is set to launch in India on August 6 at 12 PM. This product will be sold both online at Flipkart and the ASUS E-Shop website. Offline purchasing is possible at ASUS and ROG stores, as well as Reliance Digital, among others. At the moment, ASUS has not announced the tablet’s price. #ASUS #Pad #T3201 #Launched #India #OLED #Display #Price #Features #AvailabilityAsus

ASUS has designed the Pad T3201 for both entertainment and productivity. It is equipped with a 12.2-inch dual-layer OLED screen featuring 2.8K resolution and a 144 Hz refresh rate. The display can deliver up to 2,000 nits of brightness and support the 100% DCI-P3 color gamut, making it perfect for entertainment such as watching movies, gaming, and reading. The phone runs on the MediaTek Dimensity 8300 chipset and features 8 GB of LPDDR5X RAM. It runs on Android 16 and ensures efficient use for the user. ASUS has also equipped the device with Wi-Fi 6E, which provides a reliable, fast internet connection. Buyers can choose 128GB or 256GB storage, while a microSD card expands storage up to 1TB.

The ASUS Pad T3201 packs a 9,000mAh battery with 45W fast charging support. ASUS says the battery charges from 0 to 50 percent in about 30 minutes. The tablet weighs 523g and measures 6.5mm thin, making it easy to carry. It also includes quad speakers with Dolby Atmos for immersive sound. For photography and communication, the tablet includes a 13MP rear camera and a 5MP front camera. It supports ASUS Pen 2.0, a Bluetooth keyboard, and GlideX for seamless file sharing. ASUS also bundles a protective folio case with the device. Users can also use Google Circle to Search without switching apps.

Launch and Availability

The ASUS Pad T3201 is set to launch in India on August 6 at 12 PM. This product will be sold both online at Flipkart and the ASUS E-Shop website. Offline purchasing is possible at ASUS and ROG stores, as well as Reliance Digital, among others. At the moment, ASUS has not announced the tablet’s price.

#ASUS #Pad #T3201 #Launched #India #OLED #Display #Price #Features #AvailabilityAsus">ASUS Pad T3201 Launched in India With OLED Display: Price, Features, and Availability ASUS has expanded its product lineup in India by introducing the ASUS Pad T3201. The new tablet combines a premium OLED screen, performance, and portability. It has been built using the MediaTek Dimensity 8300 SoC and targets those users who like to stream, game, study, and work while traveling. The tablet’s launch date is set for August 6. ASUS Pad T3201 Specifications and Features ASUS has designed the Pad T3201 for both entertainment and productivity. It is equipped with a 12.2-inch dual-layer OLED screen featuring 2.8K resolution and a 144 Hz refresh rate. The display can deliver up to 2,000 nits of brightness and support the 100% DCI-P3 color gamut, making it perfect for entertainment such as watching movies, gaming, and reading. The phone runs on the MediaTek Dimensity 8300 chipset and features 8 GB of LPDDR5X RAM. It runs on Android 16 and ensures efficient use for the user. ASUS has also equipped the device with Wi-Fi 6E, which provides a reliable, fast internet connection. Buyers can choose 128GB or 256GB storage, while a microSD card expands storage up to 1TB. The ASUS Pad T3201 packs a 9,000mAh battery with 45W fast charging support. ASUS says the battery charges from 0 to 50 percent in about 30 minutes. The tablet weighs 523g and measures 6.5mm thin, making it easy to carry. It also includes quad speakers with Dolby Atmos for immersive sound. For photography and communication, the tablet includes a 13MP rear camera and a 5MP front camera. It supports ASUS Pen 2.0, a Bluetooth keyboard, and GlideX for seamless file sharing. ASUS also bundles a protective folio case with the device. Users can also use Google Circle to Search without switching apps. Launch and Availability The ASUS Pad T3201 is set to launch in India on August 6 at 12 PM. This product will be sold both online at Flipkart and the ASUS E-Shop website. Offline purchasing is possible at ASUS and ROG stores, as well as Reliance Digital, among others. At the moment, ASUS has not announced the tablet’s price. #ASUS #Pad #T3201 #Launched #India #OLED #Display #Price #Features #AvailabilityAsus

the ASUS Pad T3201. The new tablet combines a premium OLED screen, performance, and portability. It has been built using the MediaTek Dimensity 8300 SoC and targets those users who like to stream, game, study, and work while traveling. The tablet’s launch date is set for August 6.

ASUS Pad T3201 Specifications and Features

ASUS Pad T3201 Launched in India With OLED Display: Price, Features, and Availability ASUS has expanded its product lineup in India by introducing the ASUS Pad T3201. The new tablet combines a premium OLED screen, performance, and portability. It has been built using the MediaTek Dimensity 8300 SoC and targets those users who like to stream, game, study, and work while traveling. The tablet’s launch date is set for August 6. ASUS Pad T3201 Specifications and Features ASUS has designed the Pad T3201 for both entertainment and productivity. It is equipped with a 12.2-inch dual-layer OLED screen featuring 2.8K resolution and a 144 Hz refresh rate. The display can deliver up to 2,000 nits of brightness and support the 100% DCI-P3 color gamut, making it perfect for entertainment such as watching movies, gaming, and reading. The phone runs on the MediaTek Dimensity 8300 chipset and features 8 GB of LPDDR5X RAM. It runs on Android 16 and ensures efficient use for the user. ASUS has also equipped the device with Wi-Fi 6E, which provides a reliable, fast internet connection. Buyers can choose 128GB or 256GB storage, while a microSD card expands storage up to 1TB. The ASUS Pad T3201 packs a 9,000mAh battery with 45W fast charging support. ASUS says the battery charges from 0 to 50 percent in about 30 minutes. The tablet weighs 523g and measures 6.5mm thin, making it easy to carry. It also includes quad speakers with Dolby Atmos for immersive sound. For photography and communication, the tablet includes a 13MP rear camera and a 5MP front camera. It supports ASUS Pen 2.0, a Bluetooth keyboard, and GlideX for seamless file sharing. ASUS also bundles a protective folio case with the device. Users can also use Google Circle to Search without switching apps. Launch and Availability The ASUS Pad T3201 is set to launch in India on August 6 at 12 PM. This product will be sold both online at Flipkart and the ASUS E-Shop website. Offline purchasing is possible at ASUS and ROG stores, as well as Reliance Digital, among others. At the moment, ASUS has not announced the tablet’s price. #ASUS #Pad #T3201 #Launched #India #OLED #Display #Price #Features #AvailabilityAsus

ASUS has designed the Pad T3201 for both entertainment and productivity. It is equipped with a 12.2-inch dual-layer OLED screen featuring 2.8K resolution and a 144 Hz refresh rate. The display can deliver up to 2,000 nits of brightness and support the 100% DCI-P3 color gamut, making it perfect for entertainment such as watching movies, gaming, and reading. The phone runs on the MediaTek Dimensity 8300 chipset and features 8 GB of LPDDR5X RAM. It runs on Android 16 and ensures efficient use for the user. ASUS has also equipped the device with Wi-Fi 6E, which provides a reliable, fast internet connection. Buyers can choose 128GB or 256GB storage, while a microSD card expands storage up to 1TB.

The ASUS Pad T3201 packs a 9,000mAh battery with 45W fast charging support. ASUS says the battery charges from 0 to 50 percent in about 30 minutes. The tablet weighs 523g and measures 6.5mm thin, making it easy to carry. It also includes quad speakers with Dolby Atmos for immersive sound. For photography and communication, the tablet includes a 13MP rear camera and a 5MP front camera. It supports ASUS Pen 2.0, a Bluetooth keyboard, and GlideX for seamless file sharing. ASUS also bundles a protective folio case with the device. Users can also use Google Circle to Search without switching apps.

Launch and Availability

The ASUS Pad T3201 is set to launch in India on August 6 at 12 PM. This product will be sold both online at Flipkart and the ASUS E-Shop website. Offline purchasing is possible at ASUS and ROG stores, as well as Reliance Digital, among others. At the moment, ASUS has not announced the tablet’s price.

#ASUS #Pad #T3201 #Launched #India #OLED #Display #Price #Features #AvailabilityAsus">ASUS Pad T3201 Launched in India With OLED Display: Price, Features, and Availability

ASUS has expanded its product lineup in India by introducing the ASUS Pad T3201. The new tablet combines a premium OLED screen, performance, and portability. It has been built using the MediaTek Dimensity 8300 SoC and targets those users who like to stream, game, study, and work while traveling. The tablet’s launch date is set for August 6.

ASUS Pad T3201 Specifications and Features

ASUS Pad T3201 Launched in India With OLED Display: Price, Features, and Availability ASUS has expanded its product lineup in India by introducing the ASUS Pad T3201. The new tablet combines a premium OLED screen, performance, and portability. It has been built using the MediaTek Dimensity 8300 SoC and targets those users who like to stream, game, study, and work while traveling. The tablet’s launch date is set for August 6. ASUS Pad T3201 Specifications and Features ASUS has designed the Pad T3201 for both entertainment and productivity. It is equipped with a 12.2-inch dual-layer OLED screen featuring 2.8K resolution and a 144 Hz refresh rate. The display can deliver up to 2,000 nits of brightness and support the 100% DCI-P3 color gamut, making it perfect for entertainment such as watching movies, gaming, and reading. The phone runs on the MediaTek Dimensity 8300 chipset and features 8 GB of LPDDR5X RAM. It runs on Android 16 and ensures efficient use for the user. ASUS has also equipped the device with Wi-Fi 6E, which provides a reliable, fast internet connection. Buyers can choose 128GB or 256GB storage, while a microSD card expands storage up to 1TB. The ASUS Pad T3201 packs a 9,000mAh battery with 45W fast charging support. ASUS says the battery charges from 0 to 50 percent in about 30 minutes. The tablet weighs 523g and measures 6.5mm thin, making it easy to carry. It also includes quad speakers with Dolby Atmos for immersive sound. For photography and communication, the tablet includes a 13MP rear camera and a 5MP front camera. It supports ASUS Pen 2.0, a Bluetooth keyboard, and GlideX for seamless file sharing. ASUS also bundles a protective folio case with the device. Users can also use Google Circle to Search without switching apps. Launch and Availability The ASUS Pad T3201 is set to launch in India on August 6 at 12 PM. This product will be sold both online at Flipkart and the ASUS E-Shop website. Offline purchasing is possible at ASUS and ROG stores, as well as Reliance Digital, among others. At the moment, ASUS has not announced the tablet’s price. #ASUS #Pad #T3201 #Launched #India #OLED #Display #Price #Features #AvailabilityAsus

ASUS has designed the Pad T3201 for both entertainment and productivity. It is equipped with a 12.2-inch dual-layer OLED screen featuring 2.8K resolution and a 144 Hz refresh rate. The display can deliver up to 2,000 nits of brightness and support the 100% DCI-P3 color gamut, making it perfect for entertainment such as watching movies, gaming, and reading. The phone runs on the MediaTek Dimensity 8300 chipset and features 8 GB of LPDDR5X RAM. It runs on Android 16 and ensures efficient use for the user. ASUS has also equipped the device with Wi-Fi 6E, which provides a reliable, fast internet connection. Buyers can choose 128GB or 256GB storage, while a microSD card expands storage up to 1TB.

The ASUS Pad T3201 packs a 9,000mAh battery with 45W fast charging support. ASUS says the battery charges from 0 to 50 percent in about 30 minutes. The tablet weighs 523g and measures 6.5mm thin, making it easy to carry. It also includes quad speakers with Dolby Atmos for immersive sound. For photography and communication, the tablet includes a 13MP rear camera and a 5MP front camera. It supports ASUS Pen 2.0, a Bluetooth keyboard, and GlideX for seamless file sharing. ASUS also bundles a protective folio case with the device. Users can also use Google Circle to Search without switching apps.

Launch and Availability

The ASUS Pad T3201 is set to launch in India on August 6 at 12 PM. This product will be sold both online at Flipkart and the ASUS E-Shop website. Offline purchasing is possible at ASUS and ROG stores, as well as Reliance Digital, among others. At the moment, ASUS has not announced the tablet’s price.

#ASUS #Pad #T3201 #Launched #India #OLED #Display #Price #Features #AvailabilityAsus

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