01
Continuous eval harness
Wire your suite into CI. Every policy candidate, every model bump, every release — evaluated before it ships, not after a customer notices.
Evaluation infrastructure · App-layer robotics
Evaluation infrastructure for teams shipping robots they didn't pretrain.
Continuous evals for the policies you ship. Across simulators, across providers, across releases.
Illustrative
What a run looks like.
Same suite, three foundation models. The interesting comparisons live across the tabs — where one model wins and another silently regresses on a long-tail task.
Task Success vs baseline
pick.bin_to_shelf 0.91 ↑ 0.04
pick.deformable.cloth 0.74 ↑ 0.11
place.precision_5mm 0.63 ↓ 0.08
recover.dropped_object 0.88 ↑ 0.02
navigate.cluttered_aisle 0.95 ─
handoff.dual_arm 0.79 ↑ 0.03
1 regression
· 4 improved
report → contin.run/r-7a3c01
Task Success vs baseline
pick.bin_to_shelf 0.94 ↑ 0.07
pick.deformable.cloth 0.68 ↑ 0.05
place.precision_5mm 0.71 ─
recover.dropped_object 0.85 ─
navigate.cluttered_aisle 0.91 ↓ 0.04
handoff.dual_arm 0.82 ↑ 0.06
0 regression
s · 3 improved
report → contin.run/r-7a3c01
Task Success vs baseline
pick.bin_to_shelf 0.88 ↑ 0.01
pick.deformable.cloth 0.81 ↑ 0.18
place.precision_5mm 0.55 ↓ 0.16
recover.dropped_object 0.92 ↑ 0.06
navigate.cluttered_aisle 0.96 ↑ 0.01
handoff.dual_arm 0.71 ↓ 0.08
2 regression
s · 4 improved
report → contin.run/r-7a3c01
02
Cross-sim, one interface
Isaac, MuJoCo, your in-house sim. Define a scenario once; run it against any backend with seeds, scenes, and trajectories preserved as first-class artifacts.
03
Provider regression detection
When the world model under your stack updates, get a diff against your task envelope — task-level success, trajectory-level deltas, replayable failures.
What's in the box
The primitives a robotics team would otherwise rebuild from scratch.
- Eval-as-CI for policy releases
- First-class policy, scene, seed & trajectory artifacts
- Deterministic seeds, pinned scene versions
- Task-level and trajectory-level regression diffs
- Cross-vendor sim backends (Isaac, MuJoCo, custom)
- Cross-provider model adapters
- Per-run, per-customer audit URLs
- Self-hosted or VPC — your weights and data stay yours