Site twin
Real-time, physically accurate twin rendering and physics in NVIDIA Omniverse.
Platform
The twin-to-fleet operating loop
One platform to build a site twin, train and validate skills in simulation, deploy to the edge, and orchestrate a mixed fleet that improves itself.
Deploys on your robots Validated in NVIDIA simulation No hardware at risk
Four stages
GPU-essential at every step
GPU is essential across simulation, world-model rollout, training, and edge inference, not a nice-to-have.
Sim & training
Massively parallel GPU simulation of thousands of environments in Isaac Sim / Lab.
World models
GPU-bound Cosmos world-model rollouts for synthetic scenarios.
Edge inference
Real-time policy + perception on Jetson Thor / Orin with TensorRT.
Twin
Build the twin automatically
Foremai assembles a simulation-ready copy of your site so training starts in hours, not months.
- Layout, robots, sensors, and physics
- Multi-vendor scene in one place
- Continuously re-calibrated from telemetry
Omniverse rendering
Sub-mm calibration
Live sync to the floor
Versioned per site
Isaac Lab training
4,096 parallel envs
Safety gate: PASS
Sim-to-real report
Train
Validate before you deploy
Generate synthetic data, train policies with RL/IL, and gate every skill on safety and success before it leaves simulation.
- Domain randomization to close the sim-to-real gap
- Success, collision, and force-limit gates
- Reproducible training runs
Deploy
Turn on the Foremai layer
Validated skills ship to the edge, and the agentic layer takes over coordination.
1
Publish
Push signed skills to Jetson agents.
2
Assign
Agentic planner allocates tasks across the fleet.
3
Coordinate
Sequence and de-conflict mixed robots live.
4
Recover
Detect exceptions and re-plan automatically.
Improve
The data flywheel
More sites means more telemetry and skills, which means better models and cheaper deployments.
Compounding advantage
Per-site world models plus a cross-embodiment skill library plus fleet telemetry create a moat that widens with every robot.
+18%quarterly skill reuse
Fleet telemetry
Streamed back to retrain safely.
Skill transfer
Lessons move across sites and robot types.
Lower cost per deployment
Each new site is faster and cheaper than the last.
Scale
Engineered for parallelism
4096
parallel sim envs
12ms
edge control loop
99.9%
control-plane uptime
30+
robot models supported
Integrations
Works with the stack on your floor
Vendor-agnostic across robots, controllers, and systems of record.
Robots & arms
Universal RobotsFANUCKUKAABBFetchBoston Dynamics
AMRs & humanoids
MiROTTOLocusAgilityApptronikFigure
Controllers & sensors
ROS 2PLCs / OPC-UAIntel RealSenseZividSICKCognex
Systems of record
SAPManhattan WMSBlue YonderNetSuiteSnowflakeDatabricks
Security & safety
Enterprise-grade, safety-first by design
Robots act in the physical world, so every skill is validated before it ever touches hardware.
SOC 2 Type II ISO 27001 GDPR ISO 10218 / RIA R15.06 SSO / SAML Audit logs
Safety gates
Every policy must pass success + collision + force limits in sim before deploy.
Encryption everywhere
AES-256 at rest, TLS 1.3 in transit, per-site key isolation.
Data residency
Run in your VPC or on-prem; telemetry never leaves your boundary.
SSO, SCIM & RBAC
SAML/OIDC, provisioning, and role-based access down to the cell.
Enterprise
Built for the plant and the boardroom
Land on one cell, expand to the line, then every site, with the controls IT and operations require.
Deploy your way
Cloud, VPC, or fully on-prem with NVIDIA AI Enterprise support.
SSO & RBAC
SAML/OIDC, SCIM provisioning, granular per-site roles.
SLAs & support
99.9% control-plane uptime, dedicated solutions engineering.
Integrator channel
Certified partners to stand up sites fast.
Safety certification
Documented validation trail for every deployed skill.
ROI reporting
Throughput, uptime, and cost-per-task dashboards for finance.
Platform FAQ
Common platform questions
No. Training and world-model rollouts run on managed NVIDIA GPU compute (DGX/HGX or DGX Cloud). On-robot inference runs on Jetson at the edge. You can also bring your own cluster.
Foremai is vendor-agnostic across industrial arms, AMRs, and emerging humanoids via ROS 2 and native drivers. See Integrations for the current list.
Skills are trained and validated in simulation, signed, then published to Jetson edge agents. Nothing deploys until it clears safety and success gates.
Get started
See the platform live
We’ll spin up a twin of a floor like yours and train a new skill on the call.