Robotics AI Software Platform
Robot learning and video analytics powered by NVIDIA Cosmos world foundation models. From synthetic data generation to edge deployment in a single platform.
Built on NVIDIA Cosmos
FORGE Kinetic leverages NVIDIA's Cosmos platform of world foundation models to bridge the gap between simulation and reality for physical AI applications.
Cosmos Predict
World foundation models for future state prediction. Generate physically plausible video of robot environments up to 30 seconds into the future for planning and training.
Cosmos Transfer
Sim-to-real domain transfer using video-to-video translation. Bridge the reality gap between simulation environments and physical deployment conditions.
Cosmos Reason
Vision-language reasoning about physical environments. Understand spatial relationships, object states, and scene dynamics for intelligent decision-making.
Why FORGE Kinetic
Building a production robotics AI stack from NVIDIA's open-source tools requires 6+ specialized engineers, 12–18 months, and deep expertise across simulation, training, and edge deployment. FORGE Kinetic delivers a tested, integrated platform in weeks.
Integrated Pipeline
Cosmos Predict, Transfer, and Reason pre-wired into a single training pipeline. No custom glue code between NVIDIA tools.
Sim-to-Real Expertise
Proprietary calibration from synthetic environments to physical deployment, validated across industrial and defense applications.
Edge-Native Architecture
Models optimized for Jetson Orin from day one. No post-hoc optimization or re-architecture needed for edge deployment.
Sovereign Deployment
Air-gapped, on-premise, and IL4/5-ready configurations. Your data and models never leave your infrastructure.
Turnkey Training
Pre-built curriculum for imitation learning, RL, and hybrid approaches. Start training in days, not months of framework setup.
Continuous Updates
NVIDIA Cosmos updates integrated and tested by 577i before reaching your pipeline. No breaking changes, no version management.
Two Modules, One Platform
Explore FORGE Kinetic
Method Comparison
Who It's For
Small-to-medium businesses deploying 1-10 robots for warehouse, inspection, or logistics.
- Warehouse AMR navigation
- Quality inspection automation
- Inventory monitoring
Multi-site deployments with 10-100+ robots, custom training, and advanced analytics.
- Multi-robot fleet management
- Custom policy training
- Real-time video analytics
Sovereign deployment for defense, intelligence, and classified environments.
- Tactical autonomous systems
- Classified video analysis
- Air-gapped training
Platform Ecosystem
FORGE Post-Training
Fine-tune and align robot policies with FORGE pipeline.
Edge AI Optimization
Quantize and deploy models to Jetson and tactical edge.
Predictive Analytics
Integrate robot telemetry with predictive maintenance.
Digital Twin Validation
Validate policies in physics-fidelity simulations.
Transparent Plans
Starter
- Single robot type
- Pre-built policy templates
- Cloud-based training
- Basic video analytics
- Email support
- Standard SLA
Enterprise
- Multiple robot types
- Custom policy training
- Hybrid edge + cloud
- Advanced video analytics with VLMs
- Priority support (4hr response)
- Analytics dashboard
- Multi-site deployment
- API access
Sovereign
- Unlimited robot fleet
- Air-gapped training & inference
- IL5/IL6 classified environments
- Dedicated success manager
- Custom SLA (99.9%+)
- ITAR compliance
- On-premises infrastructure
- Full audit logging
Common Questions
What is NVIDIA Cosmos and how does FORGE Kinetic use it?
NVIDIA Cosmos is a platform of world foundation models for physical AI. FORGE Kinetic uses Cosmos Predict for future-state video prediction, Cosmos Transfer for sim-to-real domain bridging, and Cosmos Reason for scene understanding and spatial reasoning.
What hardware does FORGE Kinetic support?
FORGE Kinetic supports NVIDIA Jetson Orin for edge deployment, cloud GPU clusters (A100/H100) for training, and air-gapped on-premises infrastructure. The platform adapts to your hardware constraints.
How does FORGE Kinetic close the sim-to-real gap?
Cosmos Transfer uses video-to-video translation to bridge simulation and reality. Combined with domain randomization and synthetic data generation, FORGE Kinetic achieves robust sim-to-real transfer for robot policies.
Can FORGE Kinetic be deployed in air-gapped environments?
Yes. FORGE Kinetic supports fully air-gapped deployment with NIM microservices, on-premises training infrastructure, and IL5/IL6 classification handling for defense and intelligence applications.
How does FORGE Kinetic integrate with FORGE?
FORGE handles post-training optimization (fine-tuning, alignment, distillation) while FORGE Kinetic provides the robotics-specific training pipeline. Models trained in FORGE Kinetic can be optimized through FORGE for edge deployment.
How do we get started with FORGE Kinetic?
Start with a platform assessment to evaluate your robot hardware, data sources, and deployment requirements. We typically move from assessment to first deployment in 8-12 weeks depending on complexity.
Ready to Deploy Robotics AI?
From synthetic data to edge deployment — FORGE Kinetic takes your robotics from simulation to real-world capability.