The trust layer between AI agents and physical robots

Built for accountable physical AI

Agent bridges solve access. Groundpasse solves deployability — verified execution, safety, and audit trails for legged robots and mobile platforms alike.

📜

Behavior Contracts

Reusable, versioned behaviors — patrol, dock, inspect — with safety rules built in. Not one-off prompts.

🔌

Intent Interface

Any agent or operator submits goals and monitors progress. Agents never drive motors directly.

🛡️

Safety Governor

A dedicated safety layer on every motion command. Speed limits, proximity stops, and rules that agents cannot override.

📓

Episode Records

Every run produces a full audit trail — what was requested, what happened, and why. Replay, compare, and certify.

Fleet-ready

Multiple quadrupeds and AMRs, one control surface. Assign work by capability and track outcomes across your fleet.

📊

Behavior Benchmarks

Standard scenarios score how reliably behaviors perform — in simulation or on real hardware.

Train in simulation. Deploy on real robots.

The same behaviors and safety rules work in both environments — so what you validate in the lab is what runs on the floor.

Simulation

Develop and test behaviors without hardware. Fast iteration for teams building agent-driven workflows.

• No robot required
• Full safety and audit pipeline
• Benchmark scenarios for regression testing
• Ideal for CI, demos, and agent development

Live deployment

Connect to physical robots through industry-standard robotics middleware. Every command passes through the safety layer before reaching the base.

• Same behavior contracts as simulation
• Independent safety enforcement on hardware
• Multi-robot fleet support
• Parallel shadow runs to compare expected vs actual motion

How it works

Agents ask for outcomes. Groundpasse owns execution, safety, and proof — from request to result.

Your agents & operators

Describe the job — not the steering.

Groundpasse

Verify, execute, protect, record.

Your robots

Move only after a ground pass.

1. 1

   Request a job

   An AI agent or operator submits an intent — what should happen (e.g. “inspect aisle three”), not how to drive there. Groundpasse accepts the request and assigns the right robot if you run a fleet.

2. 2

   Match a verified behavior

   Groundpasse selects a behavior contract — a pre-approved, versioned recipe with safety rules already defined. No ad-hoc instructions at runtime.

3. 3

   Check before moving

   Before any motion starts, the system confirms prerequisites: battery, localization confidence, clearance from people, and other gates defined in the contract. If a check fails, the job stops safely with a clear reason.

4. 4

   Execute under guard

   The behavior runs while a safety governor watches every command. Too fast? Clamped. Someone too close? Stopped. The agent cannot bypass this layer — only a physical e-stop or operator override can.

5. 5

   Record the episode

   When the job finishes — success, failure, or cancel — Groundpasse writes an episode: a complete diary of the run. Replay it, compare two runs, or export a certification report for audit.

Contact

Interested in pilots, integrations, or early access?

Legal

Proprietary technology protected by patent rights.