Every capability, fully versioned.
Track artifacts, dependencies, compatibility, simulation history, and deployment lineage in one living system of record.
Groundpasse
The control plane to develop, validate, release, and operate autonomous-machine capabilities—across every model, stack, and fleet.
One control plane for your entire autonomy stack
Modern software teams rely on version control, CI/CD, observability, and rollback. Groundpasse brings that same operational maturity to machines that move through the real world.
One auditable workflow connects engineering intent, simulation evidence, release decisions, fleet behavior, and continuous improvement.
Artifacts, dependencies, and compatibility land in one system of record before anything reaches a machine.
Request early accessTrack artifacts, dependencies, compatibility, simulation history, and deployment lineage in one living system of record.
Orchestrate Isaac Sim, Gazebo, MuJoCo, custom simulators, and digital twins from the same release workflow.
Compare trajectories, energy, safety, timing, and failure modes across capability versions.
Turn safety criteria and performance thresholds into auditable pass, conditional-pass, or fail decisions.
Groundpasse sits above the model and runtime layer, giving your team one durable engineering workflow across today’s tools and tomorrow’s foundation models.
Model agnostic · Built for robotics · Human-controlled releases
Groundpasse helps teams understand regressions, surface risk, and recommend rollout strategies—while deterministic gates and accountable humans retain final authority.
Join the interest listHuman approval requiredDeployment cannot proceed without an accountable engineer.
Join the early-access list and build the operational foundation your Physical AI team can scale on.
Run canary, rolling, and regional releases with fleet telemetry, regression detection, and rapid rollback built in.