Embodied Training
Distributed reinforcement and imitation learning across thousands of accelerators, with automatic checkpointing and replay.
Now in private previewThe NeoCloud
The NeoCloud
built for Physical AI
Train, simulate, and deploy embodied intelligence on a fleet of accelerators and edge silicon — purpose-built for machines that move, sense, and act in the real world.
Trusted by embodied-AI labs, robotics OEMs, and autonomous-system teams.
Platform
One substrate, from training to the factory floor
Gray Materia unifies the full physical-AI lifecycle so your team iterates on intelligence instead of infrastructure.
World Simulation
High-throughput sim and digital twins for synthetic data, domain randomization, and closed-loop policy evaluation.
Edge Inference
Compile and ship policies to robots and edge silicon with sub-10ms latency and quantized, hardware-aware runtimes.
Multimodal Data Engine
Ingest telemetry, vision, force-torque and motion capture into versioned, queryable datasets — fused and labeled.
Fleet Orchestration
Schedule and right-size GPU and edge fleets with spot-aware placement, bin-packing, and live migration.
Safety & Eval
Continuous red-teaming, failure attribution, and guardrails so deployments stay within their operational envelope.
1.2M
GPU-hours scheduled / month
<9ms
median edge inference latency
40+
robot & edge platforms supported
99.99%
fleet control-plane uptime
The Stack
Build the model. Simulate the world. Ship it.
A continuous loop from research to real-world autonomy — no glue code, no bespoke infra.
01
Build
Author policies and world models in Python or JAX. Gray Materia manages sharding, replay buffers, and experiment tracking out of the box.
RL / ILFoundation modelsReproducible
02
Simulate
Run millions of parallel episodes across photoreal sims and digital twins. Generate synthetic data and stress-test behaviors before a robot moves.
Digital twinsSynthetic dataEvals
03
Deploy
Compile to edge runtimes and push over-the-air to your fleet. Monitor, roll back, and continuously improve with live telemetry.
Edge OTAQuantizedFleet ops
Bring your physical-AI workloads to Gray Materia
We're onboarding a limited set of embodied-AI labs and robotics teams. Tell us about your fleet and we'll get you running.
No spam. We reply within two business days.