Robotics engineering spans mechanical design, embedded systems, control logic, AI models, and safety-critical software—often developed by distributed teams across multiple disciplines and toolchains.
Coordinating all of this means more than just tracking tasks. You need deep traceability between layers of the stack: what changed, why it changed, and what it affects.


Trace.Space is built for exactly that.
An AI-native requirements and traceability platform that makes it easy to manage:

• Complex hierarchies of hardware, firmware, and control logic.
• Rapid iteration cycles and architecture changes.
• Verification planning for cross-domain dependencies.
• Standards like ISO 10218, ISO 13849, and IEC 61508 (for functional safety).

With powerful APIs and a fast, intuitive UI, Trace.Space connects your system-level intent with the detailed decisions engineers make every day—without slowing them down.