EIDON AI

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Adrian Macneil — 🤖/acc@adrianmacneil·12 Kas

🚀 We just raised $40 million to build infrastructure for Physical AI! 🦾 AI is rapidly transforming critical industries like manufacturing, logistics, transportation, agriculture, construction, aerospace, and defense. Teams that win in the physical world are those who can create a data flywheel, leveraging infrastructure to capture, ingest, analyze, and evaluate the vast quantities of data generated by real-world systems. Robotics data is multimodal, time-synchronized, and bandwidth‑constrained at the edge. Traditional data and observability platforms were only designed to store and query text and time-series data, not petabyte-scale 3D, video, audio, GNSS, and proprioceptive data. The ability to efficiently capture, ingest, search, visualize, and evaluate multimodal data is critical to Physical AI development. Foxglove is a modern data engine for Physical AI, enabling you to record logs or capture demonstrations at the edge, sync recordings to the cloud or on-premises storage, find critical events across petabytes of data, evaluate robot performance, and watch a 3D frame-by-frame replay using our advanced visualization tool. 👉 Today is still Day 1 for Physical AI, and we're hiring for dozens of roles to assemble the best team in the industry. If you've built ML platforms, data infrastructure, dataset curation, evaluation and validation, or visualization tools at a leading robotics or autonomous vehicle company, let's chat – drop me a note or tag a friend below and I'll follow up personally! Thank you to @AlexandraSukin and @jeremyl at @BessemerVP, @Sethwinterroth at @EclipseVentures, @dbeyer123 and @dhaliwas at @AmplifyPartners, and @IcehouseVenture for joining us on this mission. Also a special shoutout to our angels @tobi @alexgkendall @kvogt @_milankovac_ @hmehanna @pabbeel @BradPorter_ @bsofman @kevinmpeterson1 @ChrisWalti @Lindon_Gao @danielkan @AdamDraper @FEhrsam and @karrisaarinen!

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EIDON AI@eidon_ai·11 Kas

@ZeYanjie we add full arm tracking data to pov video. DM if interested to check out

Decentralised Robotics 🧵 I/ Building datasets for embodied AI is tough—humanoid robots need real-world human motion task data, but collecting it at scale has been limited to research lab projects or closed source big labs. At Eidon, we started with our wearable IMU trackers. Here's what we've built and achieved so far.

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Yanjie Ze@ZeYanjie·11 Kas

Nice dataset. Expect to see scaling law for egocentric human data on robotics further

today, we’re open sourcing the largest egocentric dataset in history. - 10,000 hours - 2,153 factory workers - 1,080,000,000 frames the era of data scaling in robotics is here. (thread)

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EIDON AI@eidon_ai·11 Kas

@chris_j_paxton Eidon adds full arm tracking (and hand)

Decentralised Robotics 🧵 I/ Building datasets for embodied AI is tough—humanoid robots need real-world human motion task data, but collecting it at scale has been limited to research lab projects or closed source big labs. At Eidon, we started with our wearable IMU trackers. Here's what we've built and achieved so far.

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Chris Paxton@chris_j_paxton·10 Kas

Huge dataset for egocentric embodied ai

today, we’re open sourcing the largest egocentric dataset in history. - 10,000 hours - 2,153 factory workers - 1,080,000,000 frames the era of data scaling in robotics is here. (thread)

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EIDON AI@eidon_ai·11 Kas

@JieWang_ZJUI adding full arm tracking

Decentralised Robotics 🧵 I/ Building datasets for embodied AI is tough—humanoid robots need real-world human motion task data, but collecting it at scale has been limited to research lab projects or closed source big labs. At Eidon, we started with our wearable IMU trackers. Here's what we've built and achieved so far.

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Jie Wang@JieWang_ZJUI·11 Kas

really cool large datasets maybe the 1st principle data for humanoid foundation policies pre-training, I stay tuned on next crazy work based on it

today, we’re open sourcing the largest egocentric dataset in history. - 10,000 hours - 2,153 factory workers - 1,080,000,000 frames the era of data scaling in robotics is here. (thread)

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EIDON AI@eidon_ai·11 Kas

@escliu lets add full arm (and hand) tracking

Decentralised Robotics 🧵 I/ Building datasets for embodied AI is tough—humanoid robots need real-world human motion task data, but collecting it at scale has been limited to research lab projects or closed source big labs. At Eidon, we started with our wearable IMU trackers. Here's what we've built and achieved so far.

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evan stites-clayton@escliu·10 Kas

Eddy is an unstoppable force… and has a generous spirit. This dataset will change the game.

today, we’re open sourcing the largest egocentric dataset in history. - 10,000 hours - 2,153 factory workers - 1,080,000,000 frames the era of data scaling in robotics is here. (thread)

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EIDON AI@eidon_ai·11 Kas

@aliuahma @builddotai decentralised robotics 🫶

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ali@aliuahma·11 Kas

eddy and the team @builddotai are sincere in their desire to push the frontier of robotics forwards. i began doing competition robotics against/with them 6 years ago. we love robots, and we want to see robots in the real world doing useful things. their contributions will help us do better science and get closer to a future where robots handle the mundane and dangerous tasks

today, we’re open sourcing the largest egocentric dataset in history. - 10,000 hours - 2,153 factory workers - 1,080,000,000 frames the era of data scaling in robotics is here. (thread)

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EIDON AI@eidon_ai·11 Kas

@beffjezos eidon adds full arm tracking data to POV video. the future is here and cannot be brighter

Decentralised Robotics 🧵 I/ Building datasets for embodied AI is tough—humanoid robots need real-world human motion task data, but collecting it at scale has been limited to research lab projects or closed source big labs. At Eidon, we started with our wearable IMU trackers. Here's what we've built and achieved so far.

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Beff (e/acc)@beffjezos·11 Kas

Training robotics foundation models on this dataset could make the US more competitive in manufacturing

today, we’re open sourcing the largest egocentric dataset in history. - 10,000 hours - 2,153 factory workers - 1,080,000,000 frames the era of data scaling in robotics is here. (thread)

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EIDON AI@eidon_ai·11 Kas

@simonkalouche Eidon makes a step towards that by adding arm tracking data synchronised to the POV video. next is fingers tracking with Eidon Gloves.

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Simon Kalouche@simonkalouche·11 Kas

Massive dataset but egocentric video is not going to get us dexterous manipulation policies. Egocentric data provides high-level semantic scene and task understanding (which frontier VLMs already generally provide). What is needed is fine sub-mm-level finger pose & force data.

today, we’re open sourcing the largest egocentric dataset in history. - 10,000 hours - 2,153 factory workers - 1,080,000,000 frames the era of data scaling in robotics is here. (thread)

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EIDON AI@eidon_ai·11 Kas

🎉👏 now imagine adding raw synchronised arm tracking data to this not just from factories.

today, we’re open sourcing the largest egocentric dataset in history. - 10,000 hours - 2,153 factory workers - 1,080,000,000 frames the era of data scaling in robotics is here. (thread)

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EIDON AI@eidon_ai·5 Kas

@TaliaGold @physical_int @SkildAI @NVIDIARobotics @BessemerVP @CovariantAI @worldlabs try our Eidon Trackers in our Austin HQ ! Diverse, long tail robotics data is key.

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Talia Goldberg@TaliaGold·4 Kas

Robotics has been VC's favorite way to lose money. ~10 cents returned for $1 invested over the past decade. Hardware is hard, they said. They were right. At our partner offsite, I presented on Physical AI. "This time is different." Famous last words! But converging tailwinds are rewriting the equation: powerful VLMs, edge compute, lower cost hardware, and top talent commercializing breakthrough research. Publishing excerpts from the internal presentation w/ @AlexandraSukin @bhavikvnagda Why this time is actually different, what we're looking for, what we're avoiding. Founders, hit us up!

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EIDON AI@eidon_ai·5 Kas

IX/ If robotics is AI's endgame, a decentralized version is essential — thousands of hours of synchronized data from diverse contributors will power it. We've started with our wearable IMU trackers, capturing upper-body kinematics in real environments. There is so much more to do.

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EIDON AI@eidon_ai·5 Kas

VIII/ Next: extending our data collection with Eidon Gloves and Glasses to capture fingers and dexterity data too. There is a long road of solving practical problems tho.

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