Embodied AI Validation

Safety gates for every embodied AI update.

Define validation suites, run them in your own simulator, collect provenance and immutable evidence, gate releases on pass/fail — no re-platforming needed.

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What Embodied does

Regression suites
Repeatable pass/fail from your own simulator — comparable across firmware releases.
Provenance tracking
Every run tagged with code, model, config, and environment hashes.
Numeric assertions
Deterministic thresholds and temporal rules — not LLMs — for pass/fail decisions.
Immutable evidence vault
Tamper-proof audit trail with reviewer sign-off and artifact hashes.
Bring your own simulator
Isaac, Gazebo, MuJoCo, Unity, or any custom sim — no re-platforming.
A/B regression diffs
Compare baseline vs. candidate policy versions side-by-side.

How it works

1
Define your suite
Create scenarios with parameters, environments, and numeric assertion thresholds.
2
Run in your simulator
Execute suites in Isaac, Gazebo, MuJoCo, or any custom sim. Artifacts stay in your storage.
3
Submit results
POST results via API. Lamdis records provenance, runs assertions, and stores evidence.
4
Gate releases
Block releases on assertion failures. Export signed audit bundles for certification.

Key features

Simulator-agnostic
Works with any sim that can POST results. No SDK or re-platforming required.
CI integration
Standard exit codes for CI gating. Block firmware releases on test failures.
Signed audit bundles
Logs, artifact hashes, and provenance records for safety certification.
Boundary discovery
Systematic parameter sweeps to find failure edges in your policy space.
Custom scenarios
YAML-defined scenarios with environment, physics, and behavior parameters.
Provenance API
Query any run's full lineage — code version, model weights, config, environment.

Ready to get started?

See pricing or talk to our team about your use case.

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