The physical AI future cannot be built without Trace.Space.
The next generation of software defined hardware already exists. But robots, autonomous cars, and rockets are not built at scale yet. Not because the engineering is impossible or the capital isn't there to fund it but because the tools that manage it stopped evolving decades ago.
We built the system that fixes this. One graph. The entire product, every requirement, variant, parameter, and test, connected and current as it changes. A harness for specialized AI agents to automate the low value work and provide meaningful analysis.
Built for the speed, precision and scale the physical AI future requires.
The Future
One graph connects everything you build then becomes a network with everyone you build with. Every engineer, every supplier, every factory behind physical innovation, connected as one. Agents talking to each other across companies and supply chains analyzing change impact in minutes instead of weeks.
Innovation stops slowing down. The future gets built as fast as we can imagine it.
How we got here
Every engineer starts with a spark.
Some people build a career around a problem they noticed. We built ours around one we've been chasing for more than a decade.
We were already deep in complex, mission-critical government software systems, using the industry's best tools, Jama, Polarion, the ones everyone relied on. They weren't enough. The traceability broke down, the information scattered, and no one could see the whole picture.
In 2016, Janis made it his master's thesis: prove that a connected system could work. It did, on paper. We were convinced enough to spend the next ten years building it for real, because what existed then, and what still exists today, was never going to be enough.
We are the industrial driver for the future of autonomy and physical AI
The global team behind Trace.Space
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