Industries
Constraints first, then the AI
Every sector has a binding constraint — PHI, model risk, air-gapped networks, offline field use, unit economics. We design for that constraint before we choose a model.
Manufacturing & Industrial
Plant floors have constraints a cloud service cannot meet: the part leaves the cell in milliseconds, the network is an OT network, and the imagery often cannot go anywhere at all.
Construction & Real Estate
Multiple locations, mixed hardware, patchy uplinks and a workforce that will not adopt anything requiring a desk. Everything we build for construction starts from those facts.
Healthcare & Life Sciences
Clinical areas and life-sciences production lines share a constraint with defense manufacturing: the imagery contains something that cannot be uploaded. That rules out most vendors.
Energy & Utilities
Substations, yards, pumping stations and remote sites. Inspection matters, connectivity is poor or deliberately restricted, and sending someone out to look is expensive.
SaaS & Technology
Adding AI to a product that already has customers is a different problem from building one. There is a data model you cannot casually change and a support team who will field whatever ships.
Start with a call, then a costed plan
Thirty minutes on the problem, the site and the constraints. If it looks like a fit, the next step is a four-week AI Pilot at a fixed price, with acceptance criteria signed before any code is written.