Capability · applied inside an engagement
Embedded & Edge Systems
From the Linux kernel to secure OTA and fleet lifecycle — the embedded foundation that keeps a device dependable for years.
Hyperion does not position itself as a general engineering bench. Technical fluency is used to make better product decisions, challenge assumptions, define evidence and coordinate the critical specialists required by the mandate.
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. The decisions that separate the two — where compute sits, how a device proves its identity, what an update must be able to roll back — are made early and are expensive to revisit. Hyperion owns those decisions, defines the evidence that would settle them, and coordinates the specialists who implement the result.
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.
Edge inference vs cloud inference
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 |