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 combines product leadership with scoped model engineering and cybersecurity work. A technical mission defines the configuration, adaptation, integration and handover to be delivered; specialist testing and independent qualification are agreed explicitly.

Pixel-art scene of a sovereign edge-compute unit running on-device inference on local sensor streams.

  1. Silicon

  2. RTOS / OS

  3. Drivers & runtime

  4. On-device inference

From silicon up to 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.

Frame an embedded and edge decision

Edge inference vs cloud inference

Physical systems can't wait for a round-trip. Most production constraints push inference onto the device.

Control and safety loops stay on the device; cloud suits workloads that tolerate delay and disconnection.
DimensionOn-device / edgeCloud API
LatencyNo network delay added; the control loop runs separately at its own rateNetwork round trip added; varies with link
AvailabilityCan run disconnected if designed toNeeds connectivity
Data residencyStays on the deviceLeaves your perimeter
DeterminismPossible with an RTOS and a verified timing budgetBest-effort over the network
Failure modeLocal fallback, if one is designed and testedLink loss stops the function unless a local fallback exists