The drawing gets saved. The reasoning behind it doesn’t. Why this supplier, why that quote was rejected, why the timeline moved: it lives in heads and inboxes, gone by the next project. So the part is late and nobody knows why. The team chases instead of builds, and last year’s project taught you nothing.
AI design tools are generating more parts and variants than ever, all landing on an execution layer that was never built. The window to own it is now.
The work itself: parts, RFQs, POs, gates, tasks, files. All in one place.
One live map. Every part, status, and risk, across the lifecycle.
Flags health, risk, and cost issues. Catches what people miss.
Surfaces the next move, to the right person at the right moment. It drives the work, not just tracks it.
One live view, so nothing falls between players and tools.
Suggests suppliers, flags risks, predicts cost.
Agents run the workflows and close the loops.
A generic agent is stateless. It doesn’t know why a supplier was dropped, or that a delay is about to slip your build. TERIO is in the room from day one, so the reasoning gets captured as the work happens. The memory isn’t a feature bolted on. It’s what’s left when the project runs here.
Rule-based today. The data real projects generate is what turns rules into intelligence, and that data is earned only by running real projects through the system. The moat isn’t here yet. It gets built, one project at a time.
Hardware is one of the largest and oldest industries on earth, and one of the least touched by software. That is changing fast.