Reflexion OS

The operating system for physical AI.

Bring us the task. Bring us the robot.

Reflexion OS connects modern AI to the machines you already use, giving agents a common way to perceive, reason, use robot capabilities and adapt as the task unfolds.

Discuss your task Explore Reflexion OS

Bring modern AI to the robots you already have.

A new AI application should not require replacing a working machine.

Reflexion works with existing industrial robots, new robotic platforms and the software already around them. We connect their sensors, controllers and available skills to an agentic operating layer so they can take on more adaptive tasks.

Start with the equipment you have and the task you want to automate. We build from there.

Discuss your task

Capabilities instead of robot APIs

Let the AI work at the task level.

The Brain should not need to understand every robot SDK, controller or motor convention.

Reflexion exposes robot behavior as capabilities an AI agent can use directly: inspect an area, navigate to a location, grasp an object, place a part, operate a tool.

The Brain decides what the task requires. Reflexion connects that intent to the implementation available on the robot.

How capabilities work
Goal

Move the component to the assembly tray.

    Same capabilities, another robot

    From the workbench to the inspection round.

    The Brain decides where to go and what to inspect. The humanoid’s own controllers handle walking, balance and posture at the speed the body requires.

    How a pilot works
    Goal

    Inspect the service cabinet.

    One agentic interface

    Brains change. Robots change. Skills evolve.

    Your application stays at the task level.

    AI BrainFrontier model
    Capabilitygrasp(component)
    Runs onClassical control
    RobotCollaborative arm
    How the capability layer works

    Observe while acting

    AI that stays in the loop.

    Real tasks change while they are happening.

    Reflexion keeps observation connected to execution so the Brain can inspect, continue, cancel or replan when the situation changes. The agent does not have to commit to a complete sequence before acting.

    Goal

    Move the component to the assembly tray.

      perceivedecideactobserveadapt

      How adaptation works

      Independent physical control

      A request is not authority to move.

      The AI Brain never receives unrestricted control of the actuators.

      Reflexion independently governs physical execution between intelligent intent and the robot. Actions remain constrained by the deployment, monitored during execution and subject to local control independently of the Brain.

      More capable intelligence does not automatically receive more physical authority.

      Goal

      Place the component.

        IntelligenceLocal model

        More capable intelligence does not automatically receive more physical authority.

        Physical authorityunchanged
        How physical execution is governed
        BpifranceBpifrance supports our work on the safety runtime that governs the execution of robotic policies inside Reflexion OS. NVIDIA Inception ProgramReflexion Robotics is a member of NVIDIA Inception. Research & journal

        Bring us the task.
        Bring us the robot.

        • You may already have the machine.
        • You may have a task that traditional automation cannot handle economically.
        • You may want to add modern AI to an existing robotic product.
        • Or you may be building the next generation of robots and need an operating layer between intelligence and physical execution.

        We work with robot owners, industrial teams, integrators and manufacturers to prototype the application, connect the required capabilities and evaluate the path to deployment.

        Your request, as a task
        
      
      
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        We bring modern AI into the application.