The Physical Intelligence Stack

Nine layers from physical world modeling to digital earth. The complete operating system for Physical Intelligence, powering automated research-grade mathematical and physical calculations.

Layer 01: Physical World Model

Available now

Every physical object gets a computable digital representation. World-first, not robot-first.

InputsHardware descriptors (URDF/SDF/CAD) and spatial limits.
OutputsUnified 3D scene representation with absolute physical constraints.
Studio TargetWorld Editor Viewport

Layer 02: Universal Simulation Engine

Adapter available

Abstraction above MuJoCo, Isaac Sim, Gazebo, Bullet, PhysX, Unity, and Unreal.

InputsPhysical world model and scene constraints.
OutputsEngine-agnostic deterministic state timeline.
Studio TargetSimulation Engine Configuration

Layer 03: Physical AI Training & Calculation

Available now

Perform ultra-hard math, physics, chemistry, and biology calculations automatically via AI prompting. Supports RL, imitation learning, VLA, and world models.

InputsNatural language prompts specifying research-grade constraints.
OutputsDynamically generated physical logic and mathematical proofs mapped to the simulation.
Studio TargetAI Studio & Training

Layer 04: Evaluation & Verification

Available now

Benchmark standard for physical AI. Calculates safety, reliability, deployment, cost, energy, and risk scores.

InputsSimulation timeline traces and safety bounds.
OutputsImmutable readiness manifests and benchmark metrics.
Studio TargetVerification Dashboard

Layer 05: Sim-to-Real Bridge

Available now

One-click Design → Simulate → Train → Verify → Deploy → Monitor.

InputsVerified digital policies.
OutputsFirmware and runtime binaries for physical hardware.
Studio TargetHardware Integration Panel

Layer 06: Kinetic OS Runtime

Available now

The operating system running directly on the hardware. Handles policies, safety, monitoring, updates, and telemetry.

InputsHardware telemetry streams.
OutputsActuator commands constrained by local safety models.
Studio TargetFleet Runtime Control

Layer 07: Physical Intelligence Cloud

Available now

AWS for physical intelligence. Upload robot, environment, and policy; run everything on the cloud seamlessly.

InputsBundled environment and robot configurations.
OutputsMassively parallelized cloud evaluation streams.
Studio TargetCloud Console

Layer 08: Physical App Store

Available now

Downloadable skills. Walking, warehouse navigation, or pipeline inspection. Install directly on the robot.

InputsSkill selection marketplace.
OutputsOver-the-air skill deployment.
Studio TargetMarketplace

Layer 09: Digital Earth

Available now

Entire reality programmable. Houses, factories, hospitals, cities fully simulated and manipulable.

InputsGlobal GIS, architectural layouts, and mass simulation states.
OutputsSynchronized digital twin of the entire physical world.
Studio TargetGlobal Map View