A humanoid robot seated in an armchair in a calm mountain landscape
built for contact-rich robotics

Continuous improvement for physical AI.

PlatformExplore the platform
Works with your stack
LeRobotDROIDROS 2MCAPRerunMuJoCoIsaac SimSDK + CLI

Every rollout, fully explained.

Ingest episodes from your fleet or your sims — video, proprioception, actions. Replay any run on one synced timeline, trace every step, and let the judge grade what happened.

Runs / run_pack_ep686221
Add human scoreAdd to datasetSend to queue
● head camera● head
hand_left camerahand_left
hand_right camerahand_right
▶1×
00:42.0 / 01:08.7
00:0000:2000:4001:00
00:42.0
ep686221
PickRLift air column film from table00:00
PlaceRFilm into logistics box00:08
PickLGrip USB-C product on conveyor00:14
PlaceLProduct into logistics box00:26
PickLClamp second product on conveyor00:35
PlaceLSecond product into box00:45
PickRLift air column film from table00:51
PlaceRFilm over products, close pack01:01
8 steps · segmented from raw actions · synced to video

Your failures are your best data.

Most stacks evaluate in simulation, before deployment, and go blind the moment a policy ships. Pocy watches the other side: every real rollout is graded, the sub-failures are mined out, and each one comes back as a test the next version has to pass.

One loop: grade every rollout, cluster the failures, reconstruct them in sim, and gate the next release on them. Every pass turns production time into labeled, reproducible test data.

Diagram of the data engine loop: production rollouts flow in, cycle through grade, cluster, sim, and gate, and produce test sets, sim cases, and release gates
Edge-case mining

Every evaluated run feeds a living failure taxonomy. Related behaviors are clustered and ranked by impact, frequency and change over time. Giving your team a prioritized engineering queue, not another folder of videos.

Diagram of edge-case mining: a scatter of production rollouts funnels through filter planes and comes out as three ranked failure clusters
Reality-to-regression

Turn a verified real-world failure into permanent regression coverage — recorded replay, simulation or a controlled hardware test — so the next version must prove it fixed the behavior.

A sim task descending onto a dark grid plane as a glowing tile
Release gates

Compare candidate policies against task requirements and previously verified failures. Approve the next release with evidence.

A vertical stack of translucent evaluation planes, rollouts passing down through each release gate

We're working with a handful of design partners.

We are partnering with robotics teams running real manipulation tests and industrial pilots.