Update README.md

README.md

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 # FPV Labs
 
-Open infrastructure for embodied AI.
-
-Stera by FPV Labs turns the iPhone in your pocket into a spatial-data capture system, and gives you the open-source tooling to read, process, and export the result for training.
+FPV Labs is a research and product company that works on human representations for robot learning. We believe human data will trigger the largest economic transformation in human history, and the underlying infrastructure that can make the right use of those representations meaningfully will determine how fast we get there.
 
+We will achieve this by building the full-stack infrastructure for capturing, processing, and transferring human sensorimotor experience for dexterous manipulation of robots.
 <p>
 <a href="https://fpvlabs.ai"><img src="https://img.shields.io/badge/Website-black?style=for-the-badge" alt="Website"></a>
 <a href="https://arxiv.org/abs/2605.05945"><img src="https://img.shields.io/badge/Paper-b31b1b?style=for-the-badge" alt="Paper"></a>
@@ -21,22 +20,4 @@ Stera by FPV Labs turns the iPhone in your pocket into a spatial-data capture sy
 <a href="https://fpvlabs.ai/app"><img src="https://img.shields.io/badge/iOS_App-999?style=for-the-badge&logo=apple&logoColor=white" alt="iOS App"></a>
 <a href="https://fpvlabs.ai/discord"><img src="https://img.shields.io/badge/Discord-5865F2?style=for-the-badge&logo=discord&logoColor=white" alt="Discord"></a>
 <a href="https://x.com/fpv_labs"><img src="https://img.shields.io/badge/X-000?style=for-the-badge&logo=x&logoColor=white" alt="X"></a>
-</p>
-
-## Stera Suite
-
-An end-to-end pipeline: Capture → Process → Evaluate → Export.
-
-One iPhone Pro recording processed over stera gives you:
-- Synchronized RGB + LiDAR depth
-- 6-DoF pose (ARKit, globally anchored)
-- 21-joint MANO hand poses (both hands)
-- IMU & Env mesh
-- Hierarchical action labels (session → sub-goal → episode → atomic span)
-
-Exports to HDF5, MP4, PLY, MCAP, RRD, and LeRobot-compatible formats.
-
-**Stera-10M** - 10M frames · 200 hours · 580 sessions · 108 min longest continuous capture · 70K+ atomic action spans · 20+ environments · all on consumer iPhones.
-
-The first open dataset combining hour-plus continuous capture with depth, 6-DoF pose, and dense hand annotations on commodity hardware.
-
+</p>