Infrastructure for physical AI labs to manage data and train their policies
Joined March 2026
- Tweets 49
- Following 5
- Followers 249
- Likes 39
3 Photos and videos
Haptic AI retweeted
May 28
“There’s no version of the world, I think, where in 5 years there are not good, dexterous, capable hands for a few thousand dollars price, ready for integration into different robots and products.
You should probably plan accordingly.”
This is another reason why I am bullish on costs dropping and Cambrian explosion of robotics startups.
Not surprising coming from @chris_j_paxton , but this is really a great primer and overview on the subject matter.
May 28
A new blog post on robot hands:
- why they are hard to build and why there are no good ones
- why we probably need them anyway
- what the trade offs are
- a random sampling of startups and research papers in the space
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Haptic AI retweeted
May 19
I learned so much about physical AI from a short call with one of my favorite cracked builders @0xChrisM and now I’m hooked. 🔥
Will follow along as the @HapticLabsAI team builds Festivus, which makes it easy for anyone to understand how to give AI a physical body!
At #FestivusAI, we’re building a catalog for robotics.
Our first milestone was simple but important: gather scattered robotics data from #HuggingFace, #GitHub, vendor sites, tinkerer blogs, and all the odd little corners of the internet where useful knowledge tends to live.
We credit sources clearly. No mystery meat data.
Then we brought everything into one searchable platform, so people can actually find what they need without opening 47 tabs and questioning their life choices.
Now we’ve added an AI agent that makes pages easier to edit, improve, and keep current.
Think Wikipedia for #robotics, but faster to contribute to, easier to maintain, and built for the people actually doing the work.
And yes, our code and data are #opensource too.
Why? Because that’s how innovation leapfrogs. People build faster when the map is shared.
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Haptic AI retweeted
May 19
IMO when it comes to physical AI, SV is a bit too frontier-pilled.
Don't get me wrong, frontier labs are VERY important to the ecosystem, but I think there are many problems in agriculture, construction, even consumer that can be solved with off-the-shelf hardware and don't need 99.999% success rates, and I suspect they are not as interesting to discuss so they are (accidentally) under-rated.
What we really need are entrepreneurs who UNDERSTAND the business case and pain point, and are willing to assemble the product, get costs down, and pound the pavement for distribution.
I meet many robotics companies that fit the bill, and I'd argue this is an underrated real bottleneck for robotics: people fighting the good fight.
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Haptic AI retweeted
May 13
Got a chance to see an early preview of this before launch and @mexitlan and the @HapticLabsAI team has done an amazing job!
Great to see more people contributing to open source robotics like this. The ecosystem needs a lot more efforts in this direction.
Excited to see where this goes.
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May 8
We bring the ML expertise, GPUs, and infra. We’ll help do the work. We’ll give you up to $5,000 in GPU credits. You keep all the code and models.
Robotics teams: if you’re trying to get models out of the lab and onto real robots, we want to work with you. We help teams doing hard deployment work: compression, fine-tuning, distillation/quantization, and evals on real edge silicon. We’ve helped teams move to cheaper Jetsons and cut latency in half.
All we ask for is blunt feedback. Send a DM, email hello@, or book via hapticlabs.ai/deploy if interested!
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Apr 29
Shrinking a robot's model/policy can cut a robot's compute chip cost by 3–9×. Per robot. At fleet scale, that adds up fast.
Our CTO @dribeiroalves chronicled his experience doing just that:
1. He took a model that originally needed an NVIDIA RTX 4090 (~$1,800, 24 GB VRAM)
2. It now is 2.9× smaller on disk and 5× lighter in runtime memory. It runs on a $249 Jetson Orin Nano edge module that fits on the robot itself.
The techniques to do this are all public, but contains some few footguns so we chronicled our experience doing this for folks.
Special thanks to folks at @physical_int @Samsung_RA whose we work we relied on!
hapticlabs.ai/blog/2026/04/2…
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Apr 24
Today's best robot brains need a datacenter to think. Often real robots have a chip the size of a deck of cards.
Closing that gap is the difference between a research demo and a shippable product, and it's where many deployments stall. The company, the domain, the environment all matter.
In the spirit of building in public...
Our new CTO @dribeiroalves shares his learnings improving the speed of a model and shares pain points and opportunities for entrepreneurs!
hapticlabs.ai/blog/2026/04/2…
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Apr 23
We’re excited to welcome @dribeiroalves to Haptic as CTO!
David has spent the last decade taking AI and low-level systems from research into production, most recently as CTO at Theseus AI and Principal Engineer at Eigen AI. Prior to that, he led teams shipping frontier cryptography and distributed infrastructure at scale at Dfinity.
He also recently completed his PhD on HPC algorithms for combinatorial optimization problems, the kind of foundational systems work we care about at Haptic.
We’re building infrastructure for physical AI. We’re looking for curious, humble, highly capable people excited to take on hard problems with a beginner’s mind. If you’re working in physical AI — or want to be — we’d love to hear from you.
Welcome, David!
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Apr 14
Most robot policies on HuggingFace don't show you what the policy actually does. No video. No screenshot. Just a .zip
So we built the obvious thing: paste a URL, get a video of the robot moving. It's simple for now: one A100, no job queue. But it solves a clear problem we've heard on calls
Read more on our blog. hapticlabs.ai/blog/2026/04/1…
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Apr 14
@huggingface should we integrate this on site? We'll do the legwork! cc @ClementDelangue
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Apr 10
While working with simulations for @GeorgiaTech AI researchers on VLA models, a question kept nagging us: where is the Midjourney for robotics simulation?
Turns out lots of smart people have been asking the same thing.
1. @luckyrobots
2. Genesis (20 lab collaboration)
4. Holodeck (@Penn /@Stanford /@allen_ai )
5. Language to Rewards (by @GoogleDeepMind )
6. Gemini MuJoCo WASM (@Google )
As part of building in public, we explored the landscape and also added our small contribution: SimGen, an open source app that takes a text prompt and generates four MuJoCo simulation videos: each a different interpretation.
You rate them, it learns your taste. Play with it! Clone it! Improve it! Dissect it! Steal it! Make your own!
hapticlabs.ai/blog/2026/04/0…
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Apr 10
RT @mexitlan: Exploring the robotics space to found a company?
We at @HapticLabsAI talk to 10-20 physical AI companies/labs/founders per…
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Apr 3
In talking to many physical AI companies, a pattern has emerged: there are two types of robotics founders: Hardware-first and software-first.
And software-first founders are growing.
They don't just build differently, they think differently. The gap between them is where a new field of opportunities can come from.
hapticlabs.ai/blog/2026/04/0…
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Apr 3
Special thanks to @luckyrobots, @robotsailor, @enguerandvitro, @roborobots for their time and insights on this post!
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