A drafting table under a low lamp: exploded assembly drawings, a printed prototype and a marked-up schedule, cyan pen light

The offer

Three stages. Each one ends in something real.

No open-ended retainers, no discovery phase that discovers itself. Every stage has a fixed shape, a fixed length and a deliverable you can hold, run, or hand to a manufacturer.

STAGE 01

Discovery

We take the idea apart with you: what has to happen locally, what can wait, which sensors and silicon, which model and how big, what the enclosure implies, what it costs to manufacture at the volumes you have in mind. You end the fortnight with an architecture, a build plan, a risk list and a manufacturing sanity check.

  • Edge / premise / cloud split
  • Silicon & sensor selection
  • Model feasibility
  • Cost-to-build estimate
  • Build plan & risks

2 weeks

STAGE 02

Working software

Software running on real hardware — a development board or an existing unit — with inference on the target, the data path, the API and a client you can actually press. Early, unfinished and truthful: the point is to meet the problems now, while changing your mind is still free.

  • Inference on target hardware
  • First custom model iteration
  • API & data path
  • App or console
  • Demo you can run yourself

4 weeks

STAGE 03

Hardware prototype

A working prototype in its own enclosure, with the bill of materials and the complete documentation set a contract manufacturer needs to quote mass production. Printed parts designed to be moulded, an assembly sequence, a test plan, and an honest list of what is still open.

  • Working prototype in enclosure
  • Full BOM
  • Mechanical package & assembly
  • Test plan
  • Manufacturing documentation

8 weeks

Stages run in sequence or stand alone — plenty of clients arrive with hardware and need the intelligence, or with a model and need something to put it in. Pricing is quoted per engagement once we know the shape of the problem; discovery is the cheapest way to get there.

A prototype that cannot be manufactured is a sculpture. Beautiful, expensive, and no use to a sales team.

Fit

Who this is actually for

GOOD FIT

You have a real constraint

A deadline in milliseconds, data that must not leave a building, a site with no reliable uplink, or a per-event cloud bill that gets worse as you grow. Constraints are what make edge AI the cheaper answer rather than the clever one.

GOOD FIT

You have a product, not a demo

Manufacturers modernising a proven line, teams whose cloud prototype just met its first real installation, founders who need one group to own hardware, model and software instead of three vendors pointing at each other.

POOR FIT

An app with an AI feature

If it runs happily in a browser and nobody cares about latency, you do not need us, and we will tell you so in week one rather than week nine.

POOR FIT

A chatbot with a chassis

Hardware added to make a software product look serious tends to produce an expensive object that does less than the phone already in the room. We would rather build you the thing that has to exist.

Week zero

Two weeks from now, you could know.

Whether it can be built. What it costs to make. What has to be true for it to work. That is a cheap way to find out, and an expensive thing not to know.