Remy AI
Documenting human dexterity
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.
Founder
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