Full-Stack Physical AI
From the Linux kernel to secure OTA and fleet lifecycle — the embedded foundation that keeps a device dependable for years.
Silicon
RTOS / OS
Drivers & runtime
On-device inference
A four-stage pipeline: silicon, then the RTOS or operating system, then drivers and runtime, then on-device inference.
A board that boots once in a lab is not a fleet you can update, secure and operate for years. We make the embedded foundation production-grade — cutting field-failure risk and keeping devices updatable across their lifetime.
Boot-to-application stack, edge/cloud split, secure & measured boot, signed OTA with rollback, and per-device identity & fleet lifecycle — reliability and OT/IT security designed in, with clear operational ownership.
Linux kernel, drivers & device tree; Yocto / Buildroot; BSP & board bring-up; PREEMPT_RT; Android/AOSP & HAL; SELinux & Verified Boot; A/B OTA with anti-rollback; per-device identity. Performance budgets and failure modes documented per target.
Physical systems can't wait for a round-trip. Most production constraints push inference onto the device.
| Dimension | On-device / edge | Cloud API |
|---|---|---|
| Latency | Sub-100 ms; ~1 kHz reflex loop | Seconds of round-trip |
| Availability | Runs disconnected | Needs connectivity |
| Data residency | Stays on the device | Leaves your perimeter |
| Determinism | RTOS / hard real-time | Best-effort |
| Failure mode | Degrades gracefully | Link loss = blind |