AI consultancy for companies building real products — where software, firmware, and hardware meet intelligence.
The numbers below come from a production multi-device AI system running in our own lab — local language models, device coordination, and voice control across a mesh of consumer-grade hardware. It is the kind of system we build for clients, measured rather than described.
| llama3.2:3b | 36.7 tok/s |
| qwen3:4b | 30.1 tok/s |
| deepseek-r1:8b | 17 tok/s |
| qwen3:8b | 16.6 tok/s |
LAST MEASURED 15 JULY 2026
You build a physical product and the board wants AI in it. We turn that into a costed, buildable roadmap — including the honest answer when the right amount of AI is less than expected.
grounded in shipping firmware, not slideware
Language models, classification, and decision-making running on the device itself — no cloud round-trip, no per-query bill, no customer data leaving the product.
see SHT 2 — those are our own measurements
The unglamorous part most AI consultancies can't do: making intelligence coexist with real-time constraints, watchdogs, OTA updates, and the rest of an embedded stack.
electronics, firmware & software design background
Condition monitoring, anomaly detection, and process optimisation from the sensor data your line already produces.
R&D experience across consumer & industrial products
Inspection, counting, presence, and safety applications — scoped to run on hardware that matches the budget of the product it ships in.
edge-first: the camera and the model share a box
Which model, at which size, on which hardware — answered with benchmarks rather than vendor claims. The right model is often smaller and cheaper than the default choice.
we rank models by measured task performance
Track record
electronics, firmware & software design roles — preceded by 20 years in contract R&D
Write it the way you'd explain it to a colleague — our assistant structures it into a scoped brief on the spot, before you decide whether to send it.
BRIEF — AWAITING INPUT