Bring the edge hardware you already trust.

The reference controller exists so there is a known-good target. It is not a requirement. What stays constant across every device is the contract: a manifest-scoped runtime, a bounded field edge, and admission before install.

Right-sized execution, not one runtime everywhere.

A conveyor counting pallets does not need a vision-language model. Matching the model to the device is the point — and the fit coupon enforces it.

GPU edge Linux

NVIDIA Jetson

GPU-scoped VLM / VLA packages

GPU-appropriate models under the same outbound management and provenance contract.

Reference design

Indagate QCS6490

Local multimodal, OLED status

The reproducible reference hardware. Available, never required.

ARM64 Linux

Raspberry Pi 5

OpenCV, compact CPU models

Motion, edges, contours and lightweight task models where a larger model is unnecessary.

x86_64 or ARM64

Your Linux or Yocto image

Manifest-scoped runtime

Integrate an existing gateway or product image and select models inside its measured envelope.

Deterministic field edge

Zephyr companion MCU

Signals, filters, bounded rules

Normalize PLC, sensor and field-I/O telemetry without moving safety authority out of rated controls.

The Indagate reference controller: top-mounted status display and a front panel carrying USB-C, USB 3.2, HDMI, MIPI/DP, dual 2.5G LAN, DIO/GPIO, relay outputs and antenna connectors

AI compute and industrial control, designed together.

Compute
QCS6490 — local multimodal runtime
Host OS
Linux or Yocto, ARM64 or x86_64
Vision
Device-scoped VLM, compact models, OpenCV
Field edge
Zephyr MCU, 24 V I/O, configurable safe state
Mounting
Wall or DIN, passive cooling

Camera trigger and strobe, separate power domains and an MCU heartbeat are part of the design. Outputs stay disabled through boot.

Tell us what you already have.

Most sites already own most of what this needs. Send the sensors and compute on your floor with your SOPs, and the free audit tells you what fits and what does not.