proception.ai, YC W25, The hands robots have been waiting for

Joined April 2017
129 Photos and videos
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introducing http://Proception.aiFinally we can share what we have been working on. Super grateful for the team’s hardworking in the last 4 months. More to come, exciting time ahead
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Jay@Proception reposted
Wishing America a happy 250th birthday weekend 🇺🇸
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Our engineer hammered ProHand prototype last year during a customer visit. The hand survived like nothing happened to it. The customers asked to check the hammer.
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If you want your hands to be truly useful, you first need to make them strong.
Proof.
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Thanks for the feature, @TheHumanoidHub ! 🙌 We appreciate the support. We’re just getting started with ProHand & ProGlove, and we’re excited to share more as development continues.
Proception has launched its first products, ProHand 1.0 and ProGlove 1.0. - 22 total DoF with 18 actuated DoF (including a 2-DoF wrist) - Tendon-driven fingers, 4 joints each - On-board control for 10 ms real-time response - Every actuator reports its full state continuously, fused with a forearm IMU - On-board real-time compute Client SDKs - Integrated wrist camera The robot hand is wearing ProGlove 1.0, a 1.3 mm textile glove for low-latency sensing.
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A great conversation with @IlirAliu_ in our old Palo Alto office.
Just closed $11M from @firstround Capital... @proceptionAI! The same day Tesla dropped its trade secret lawsuit against them. I caught up with CEO @JayLiStanford in Palo Alto earlier this year: Backstory: Jay led hand engineering on Tesla's Optimus. He left, started Proception, and got sued by his old employer six days later. Almost a year of litigation. He called it a "resilience test." Now it's over, the round is closed, and Proception just shipped its first batch of hands. What are they building? ProHand, a tendon-driven hand, 20 DOF plus a 2-DOF wrist, covered in full tactile skin. It reacts to contact like a real hand, because that's what trains the model underneath it. The real unlock is the data: Most teleoperation needs a robot in the loop and zero tactile feedback. Proception's ProGlove uses the same sensor skin as the hand: humans wear it, do tasks with their own hands, and it captures real contact data with no robot involved. Hiring is one of the biggest bottlenecks, Jay says, not supply chain, not the tech. Standard founder problem, just at robot-hand difficulty. Dexterous hands are the unsolved piece of humanoid robotics. Musk has called it one of the hardest engineering problems out there. Jay and his team think they'll get there faster than people expect... (Longer episode out soon) More about the hand here: proception.ai/product/pro-ha… Congrats to @JayLiStanford, @_jaku_xu and the entire team for this milestone!!!! ——- Weekly robotics and AI insights. Subscribe free: 22astronauts.com
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Thanks, Bill. I honestly couldn’t ask for more. Your support and belief in what we’re building mean a lot.
You can find out more about the remarkable product Proception is building in this @TechCrunch story out today: techcrunch.com/2026/06/29/ro…
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The hands robots have been waiting for start shipping today. If you're working on dexterous manipulation, let's talk. proception.ai
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The last 20 months weren't a straight line. There were stretches I didn't know if we'd get here. We kept building anyway.
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We’ve raised $11M. Led by @FirstRound, with @BoxGroup, @ycombinator, and others. Grateful for investors who bet on hard problems.
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The most human-like, capable robot hand ever built — plus a glove for robot sensing and human data collection. Minimal parity gap between human and robot hands. End-to-end, hardware data.
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In Sep 2024, I left a job I loved to start @proceptionAI with one obsession: to give robots hands that actually work. 20 months. 20 people in Mountain View. A lot of Coke Zero. Today we ship.
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I met @jimbelosic last week and he is such a down to earth guy. Great to see his work at @sendcutsend shaping the hardware industry in the US.
There’s one factory in the US that has figured out how to compete with China when it comes to making metal parts. We went to Reno to see how SendCutSend operates.
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Jay@Proception reposted
Some of my recent thoughts on building foundation models for robot manipulation: • Don't commit the model to a single robot hardware. Hardware will continue to evolve, and models should transfer across platforms. • Don't commit to two-finger grippers. Dexterous hands are the future. • Learn a unified representation across embodiments. That's the key to leveraging data from different robots and humans. • Scale with both robot data and human data. • Go beyond tabletop toy tasks. Start with useful real-world tasks. Once a robot can do something valuable, then scale to more tasks. #Robotics
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Mechanical design today looks completely different from 10 years ago. The CAD work our team is doing at Proception is honestly mind-blowing, and great mechanical design now requires strong software skills, too. I wouldn’t have imagined that a decade ago. Very impressed by this team. If this kind of work excites you, come build with us.
We pushed Fusion pretty hard while building ProHand. When standard CAD workflows weren’t enough, we built our own tools with Autodesk Fusion’s Python API. It removed a lot of painful manual work and helped us iterate much faster. autodesk.com/products/fusion…
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10PM Friday talk with @ax_pey. Fundraising, team, product, pressure, and all the fun topics in building robotics companies. Building can feel lonely. Grateful for friends who get it.
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It’s an interesting idea. However, the high-resolution tactile sensors are covered by rigid surfaces, which means the human won’t directly respond to tactile contact. As a result, the data may have limited value for training robots to close the loop using tactile feedback.
Manipulation happens through surfaces. To understand contact-rich dexterous interaction, motion alone is not enough. We also need to know surface properties and contact state. Excited to share ART-Glove, an articulated tactile glove that captures contact-grounded information while preserving human dexterity. It provides: - Known Geometry: 16 rigid functional surfaces - Surface Motion: 22 anatomically aligned joints - Tactile Contact: 2048 piezoresistive taxels Huge thanks to my advisor Ding @zhao__ding, and to Yuxiang @yxyang1995, Maria @bauzavillalonga, Marissa, and Peide @peide_huang for the valuable advice and discussions. Paper: arxiv.org/abs/2606.16370
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In case you don’t know where to find the best robot hands, we’ve put up a sign for you.
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Just noticed YC put younger photos of the partners on their website. Such a fun touch. ycombinator.com/partners
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