Predicting per-finger pressure signals from EMG alone. No glove or vision input at inference.
Building toward robots that learn how much force to apply, not just where to move. @PreloadAI
We built an annotation layer for egocentric video.
Raw video in. Dense, time-aligned action labels out, plus a quality score with timestamped evidence.
Not just more data. Data you can actually trust for training.
@PreloadAI
We finally put together a video showing what we’ve been building at Preload (YC F26) 🧠🤖
We collect synchronized egocentric video + EMG + tactile data for robot manipulation, VLAs, and world models.
If you need robotics data, we can collect it end to end, at scale, starting as soon as tomorrow, and help integrate it into model training.
We’re also excited to work with companies exploring where dexterous manipulation can unlock new automation.
🎥 Launch video below
preload.ai[email protected]
57 Followers 218 FollowingReal Factory workers. real manipulation data. 63 M indian MSMEs - Structured RLDS training data for your Robots. Hardware Depth.6DoF. Sam2. Gaussian Splatting
295 Followers 822 FollowingCreative Technologist building Archive Signal — rights-cleared, outcome-linked physical data.
The answer keys AI trains against.