Who uses the OS

One system for every team that puts robots to work.

Product, autonomy, controls, hardware, safety, and field operations share the same operational picture—from the first mission brief to a verified fix on a deployed machine.

System context

Mission, constraints, logs, hardware

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Operational evidence

Interfaces, runs, gates, service notes

Why this matters

The hardest part of robotics is the handoff into reality.

Teams lose time between simulation and hardware, design and safety review, lab and site. AI-Native Robotics OS keeps the assumptions, evidence, and decisions legible across those boundaries.

Describe the mission, attach the constraints, inspect the proposed plan, and carry the operational context into validation, commissioning, and maintenance.

Built for your role

The whole robotics crew, in sync.

One shared workspace for the people who decide what the machine must do and the people who keep it doing it.

Robotics Product

Mission intent your engineers can verify

Turn customer workflows and operating constraints into system requirements, capability slices, risk registers, and acceptance gates.

  • Mission, system, and operational requirements
  • Release gates tied to measurable behavior
  • Traceable decisions for design reviews
  • Roadmaps grounded in hardware reality

Autonomy & Controls

Behavior that survives contact with hardware

Keep behavior specifications, edge cases, tuning notes, simulation runs, and hardware-in-loop evidence connected as autonomy evolves.

  • Behavior contracts and interface assumptions
  • Scenario matrices for nominal and edge cases
  • Simulation-to-real validation evidence
  • Change context for every release

Hardware & Systems

Interfaces that stay legible

Align electrical, mechanical, compute, sensing, and software boundaries before integration turns an undocumented assumption into a site failure.

  • Interface control documents and dependencies
  • Integration plans and bring-up sequences
  • Configuration baselines by machine
  • Failure modes and mitigation actions

Safety & Validation

Evidence for every go / no-go

Make hazards, mitigations, test procedures, results, and sign-offs part of the build rather than a scramble before deployment.

  • Hazard analyses and safety requirements
  • Verification plans with explicit pass criteria
  • Evidence packages for commissioning reviews
  • Exceptions, owners, and residual risk

Commissioning & Field Ops

The site is part of the system

Turn installation reality into structured feedback. Give operators a clear runbook and engineering a clean signal when the field finds something new.

  • Commissioning checklists and site gates
  • Runbooks for operators and service teams
  • Incident context linked to fleet configuration
  • Feedback that informs the next release

Technical Leadership

A reliable view of readiness

See where a program stands across design maturity, test evidence, open risks, deployment readiness, and field health without chasing six tools.

  • Program-level readiness and risk views
  • Decision records with accountable owners
  • Evidence across fleets and deployments
  • Clear next actions for every team
What translation looks like

From field language to an engineering record.

Capture the way teams actually talk, then give the next person enough context to act safely.

Mission brief

“The robot must move pallets across a shared aisle.”
An operational requirements baseline with actors, constraints, hazards, and measurable acceptance criteria.

Behavior

“It should pause when a person enters the zone.”
A behavior contract with trigger, response, degraded modes, and verification scenarios.

System design

“Camera, lidar, and compute must work as one stack.”
An interface map covering data flow, timing, dependencies, failure boundaries, and trade-offs.

Field signal

“Unit 07 loses localization near dock three.”
A structured incident with fleet config, environment, reproduction steps, and likely investigation paths.

Validation gate

“We need confidence before the first customer site.”
A verification matrix with evidence owners, pass criteria, open risk, and a clear release decision.

Commissioning

“Get this machine running on site without surprises.”
A site-ready sequence for installation, calibration, operator handoff, rollback, and sign-off.

Build the machine. Keep the learning.

Plans start at $200/month for pilots and scale to production and fleet operations based on robots, sites, integrations, and support.

Start for $15/user/month Explore the toolkit