The Hard Part
Why most robots never leave the lab
Getting a robot to work is one thing. Getting it to work reliably, safely, and connected to your business — that's where projects stall.
The real world is different
Lab conditions don't match production. Lighting changes, backgrounds vary, edge cases multiply. That 95% lab accuracy often drops to 60% in the field.
Average isn't good enough
Research papers report mean success rates. In production, 95% success means dozens of failures per day — each one needing human intervention.
Speed vs. capability
The best models are often too slow for real-time control. Edge deployment means hard tradeoffs between capability and response time.
Everything needs to talk
Robots don't exist in isolation. They need to connect to warehouse systems, fleet management, monitoring dashboards, and compliance logging.
Certification is unclear
Safety standards were written for robots that follow explicit rules. There's no established playbook for certifying behavior that emerges from neural networks.
Debugging is hard
When a traditional robot fails, engineers read the code. When a learned policy fails, there are only weights to inspect. New observability tools are needed.
What You Get
The tools to go from prototype to production
Monitoring
Real-time visibility into production behavior. Alerts when conditions drift from training data, before things break.
Compliance
Audit trails and behavioral documentation for regulated environments. Built for how ML systems actually work.
Integration
Pre-built connectors for warehouse management, ERP, and fleet systems. No more custom glue code for every deployment.
Sim-to-real validation
Test against real-world physics before shipping. Catch the gaps between simulation and production early.
Multi-platform
Deploy to Isaac Sim, Unity, Unreal, or edge devices. Same infrastructure, consistent behavior across environments.
Developer SDKs
Python, JavaScript, Rust, and C++ libraries. Fits into existing CI/CD pipelines, not around them.
How it works
Three steps to simulation-ready assets
Describe
Natural language prompt for your asset
prompt: "6-DOF robotic arm"
Generate
AI creates 3D asset with physics properties
await client.generate()
Export
One-click export to your simulation engine
format: "usd", target: "isaac-sim"
Validate before you export
Run physics validation checks on every asset before exporting. Catch simulation issues before they become real-world problems.
- Mass distribution analysis
- Collision geometry validation
- Joint limits verification
- Inertia tensor computation
// Validate physics properties before exportconst validation = await client.validate({ assetId: asset.id, checks: [ 'mass-distribution', 'collision-geometry', 'joint-limits', 'inertia-tensor', ],})if (validation.passed) { await client.export({ assetId: asset.id, format: 'usd', target: 'isaac-sim', })}Industries
For environments where failures matter
Healthcare
Surgical assistance, pharmacy automation, patient logistics. HIPAA compliance built in from the start.
Manufacturing
Assembly, quality inspection, material handling. Safety certification for learned policies in factory environments.
Logistics
Pick-and-pack, autonomous forklifts, fleet coordination. Connects to existing warehouse and ERP systems.
The Virtuous Cycle
Deployed robots make better robots
Robots in production collect real-world training data while generating value. Better data leads to better models, which enables more deployment.
Teams that can deploy early start compounding these advantages. Those stuck in the lab fall further behind with every passing month.
Deploy learned systems
In production environments that generate value
Collect real-world data
Training data from actual deployment scenarios
Improve models continuously
Better models enable more deployment
Platform support
Export to any engine
Generate once, export everywhere. Native support for industry-leading simulation and game engines.
NVIDIA Isaac Sim
Robotics
NVIDIA Omniverse
Simulation
Unity
Game Engine
Unreal Engine
Game Engine
Godot
Game Engine
Bevy
Rust Engine
Pricing
Scale with your simulation needs
Pro
- 500 generations/month
- Advanced physics validation
- Sim-to-real validation
- All engine exports
- Priority support
Enterprise
- Unlimited generations
- Custom model training
- On-premise deployment
- Dedicated support
- SLA guarantee
Ready to go from lab to production?
For teams building robots that need to work in the real world.