You built the machine. Making it work in the field is a separate discipline.
Embedded autonomy, perception and platform software for robotics companies that need a working fleet, on an edge compute path that does not depend on a single GPU vendor.
What it costs you
What stalls robotics programs between the demo and the fleet.
No embedded bench
Machine learning skill and mechanical skill do not add up to a deployment stack, and hiring for the gap takes quarters you do not have.
The stack breaks on upstream releases
Vendor release cadence is not your schedule, and every forced migration lands on your team.
One robot is not a fleet
A robot working in a lab tells you little about fifty working in buildings you do not control.
Runs on: AMD Kria K26 system-on-module, on carrier boards designed for your platform.
What it looks like in practice
- ArchitectureBaseline and interfaces frozen
- SimulationMilestones we control
- Bring-upYour hardware, our stack
- DemonstrationIntegrated, on site
- SupportFleet updates and migrations
Field issues from the fleet come back into the pinned platform image and are tested before they ship.
Evidence
Full autonomy stack, flight proven measured
Perception and control running on a single low-power module, flown on fixed-wing, multirotor, ground and legged platforms.
AMD Kria KV260The first step
A fixed-price architecture and baseline phase that ends in a frozen scope and a firm price for the rest.
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