You can't put a person on every weld, every mile, and every machine. Let us help.
AI that works where your problems are. On the line, on the route, on the machine. Not in the cloud, and not in someone else's data center.
Once AI leaves the lab, nobody owns the working system.
Vendors ship parts. Integrators ship a demo. Six months later the stack breaks on an upstream release, and it is your engineers holding it together on a Friday night.
Meanwhile the judgment you actually depend on, the inspector who knows what a bad weld looks like, can only be in one place at one time. It was never written down, and it walks out of the building at the end of the shift.
We are the party that stays accountable for the result.
What we solve
Four problems, each one raised by a customer before it was ever on this page.
Inspection and yield
Your best inspector cannot be at every station. What he knows can be.
ManufacturingRobotics integration
You built the machine. Making it work in the field is a different discipline, and hiring for it takes quarters you do not have.
Robotics OEMsDefense autonomy
The loop has to close in microseconds, inside the airframe, with nothing to phone home to.
DefenseLegacy and throughput
Your teams generate code faster than you can verify it. Verification is the ceiling, not generation.
Engineering organizationsHow we choose the tools
We build our own silicon. We use it sparingly, and we will tell you when you do not need it.
Our own silicon, where the physics leaves no alternative
Some loops cannot be closed by general-purpose compute at any price. When the budget is set by the airframe rather than by the software team, the compute has to change shape.
- Guidance and control loops with bounded, deterministic timing
- Size, weight and power constrained platforms
- Contested or disconnected environments, air-gapped by design
Integration, everywhere else
Most of the time the constraint is not compute at all. It is that nobody owns the working system. We integrate on whatever silicon fits your program, and we stay on the hook for it.
- Architecture, controls, firmware and application software as one program
- Pinned images, a maintained version matrix, signed updates with rollback
- Support that outlives the integration and absorbs forced migrations
We reach for our own silicon only when the loop will not close without it.
What we have actually measured
Three results, each one taken on hardware we can name.
Full autonomy stack, flight proven measured
Perception and control running on a single low-power module, flown on fixed-wing, ground and legged platforms.
AMD Kria KV26041,200 production lines delivered measured
An instrumented program with two engineers. We report the certified and uncertified rates separately, because they are different products.
Mixed FPGA and embedded platformLanguage model inference on reconfigurable silicon measured
A ternary model running on a single card with grounded retrieval and four deployed knowledge bases, unable to answer outside its sources.
AMD Alveo U50Every figure on this site is measured on hardware, and states the hardware it was measured on. Where a number is a target rather than a result, it is labelled target in the same place you read it. We would rather publish a smaller number you can reproduce.
See it running
Field footage from our own programs. No renders, no simulation.
Start with an evaluation, not a program.
Two weeks. Fixed price. One problem you nominate. At the end you have a written assessment, a measured baseline agreed before we started, and a scoped proposal with a firm price and a dated decision point.
If you stop there, the assessment is yours to keep.