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Remy AI

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Documenting human dexterity

Winter 2026Founded 20252 people
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Robotics Training DataUsage-basedRobotics foundation model companies and hardware makersLow competition
Moat
Head-mounted capture + tactile sensors document real-world dexterity at scale; competitors use sim or teleoperation only.
Key risk
Robotics commercialization timeline uncertain; few customers willing to pay data licensing fees at scale.
Why now
Foundation models bottlenecked by high-quality industrial task data; demand from scaling robotics startups.
Competitors
Emerging space, in-house robotics teleoperation, synthetic simulation
โ†ป Pivot / rename signal

This company has previously operated under โ€œBright Eyed Labsโ€. A rename frequently marks a pivot in positioning or product โ€” useful raw material for variant ideas.

About

Robotics foundation models are bottlenecked by data. The internet is saturated with cooking tutorials and unboxing videos, but it has almost nothing on the tasks that actually matter for industry: wire harnessing, SMT rework, surgical suturing, mechanical assembly, food prep at scale. Lab teleoperation and handcrafted sims try to fill the gap, but they collapse to archetypal motions in sterile environments and miss the contact-rich, force-modulated messiness of how work actually gets done. We're solving this by going to the source: we pair head-mounted capture with wearable tactile sensors to record synchronized vision, proprioception, and contact forces from people doing real work on real job sites. Our privacy-first pipeline guarantees anonymization, with end-to-end encryption in transit and at rest. Our proprietary annotation stack delivers contact events, hand poses, and drift-corrected trajectories at a granularity that off-the-shelf tooling can't match.

Founders ยท 1

Oscar Brisset
Oscar BrissetCo-Founder, CEO
BCGOxford

Oxford, AI Engineer at BCG X, now working on robotics data collection

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