Get answers before you spend a budget.
A feasibility answer, an architecture, or a second opinion on your ML team's results — grounded in 200k hours of production computer-vision work.
Executives in industry
You want AI to cut costs or automate a process, and need a realistic read on what's feasible, what it costs, and what it returns.
Teams stuck on accuracy
Your ML team's scores are good but not good enough. We review the pipeline and propose concrete algorithms to close the gap.
New ventures
You have an idea with a vision component. We critique it at the earliest phase — before you commit a roadmap to it.
Scoping call
You describe the problem and the data. We ask the questions that decide feasibility. Free.
Feasibility & PoC
A short, fixed-price study on your data: achievable accuracy, approach, risks, and a production estimate.
Production build
We build and integrate the system — weekly demos, metrics you can check, no black boxes.
Operate & improve
Monitoring, retraining, and scaling as your data grows — or a clean handover to your team.
Vendor-neutral by design.
We're not financially attached to any cloud, framework, or vendor. We assemble the best available components into an instrument that serves your business process — the way good systems engineers integrate rather than reinvent.
A team, not freelancers.
Every engagement is staffed as a cross-functional team — researchers, engineers, and a technical lead — so problems get attacked from several angles and never stall on one person's calendar.
Start with the scoping call.
Thirty minutes. No commitment. A straight answer on feasibility.
Get a quote