Infrastructure that enables AI policies to control physical robots safely across any hardware, vendor, or task.
Request Early AccessEvery robot requires unique integration. Hardware changes demand complete system rewrites.
Each modification triggers costly re-certification cycles. Compliance becomes the bottleneck.
AI policies output abstract actions. Translation to hardware commands remains fragile.
The runtime infrastructure between AI intelligence and physical execution. Designed for safety, built for flexibility.
Configuration-driven robot abstraction. Swap hardware without touching code.
Multi-stage validation with cryptographically signed audit trails.
Universal compatibility layer. Any policy, any robot, any tool.
Accelerate commissioning timelines. Achieve safety certification faster.
Deploy pilot programs with built-in safety infrastructure. Scale with confidence.
Offer hardware portability while maintaining control. Enable customer flexibility.
Generalist AI controllers are production-ready. ROS2 provides the standard interface. Humanoid pilots are launching. The infrastructure layer must evolve.
We led AI integration at a European robotics OEM. Hardware development was internal. Software architecture was fragmented across vendors. Each platform operated with unique constraints.
Component substitutions required comprehensive re-validation. AI deployment encountered fundamental safety limitations. The cost became unsustainable.
SafeTool OS addresses this systematically: a vendor-neutral safety runtime enabling teams to focus on innovation rather than integration complexity.
Engaging with select partners for pilot deployment programs.