Core offering
AI product development, from idea to production
We take AI products from a rough idea to live, production software. No prototypes that die in a sandbox — every engagement ends with a system real users can use and your team can run.
What we build
The work, concretely
Discovery & scoping
We pin down the problem, the users, the data, and the success criteria before anything gets built — so the product solves something real.
AI system design
Architecture, data flows, model selection, and the human-in-the-loop checkpoints that keep an AI system trustworthy in production.
Full-stack build
Production-grade software — frontend, backend, and ML pipelines — engineered to scale, not a throwaway demo.
Deployment & monitoring
We ship to production and instrument it, tracking usage, cost, and outcomes so the product keeps improving after launch.
How we approach it
Every build follows our four-phase method — Map the problem, Model the system, Make the production version, and Monitor real outcomes. It keeps us honest about what we're solving and accountable for what happens after we ship.
Explore the MethodProof
Products we've shipped
Anna AI
An AI patient-intake specialist that handles clinical phone calls and returns structured summaries.
UTM Copilot
Conversational UTM creation with a multi-agent validation pipeline and real governance.
Activio
An AI training platform that builds sport-specific programs and coaches athletes between sessions.
FAQ
AI Product Development — common questions
How long does an AI product build take?
Most products go from a scoped idea to a deployed first version in weeks, not months. Timelines depend on integration complexity and data readiness, which we map up front so there are no surprises.
What does an engagement cost?
We scope and price each build to the problem after a short discovery conversation, then work to a clear fixed scope rather than an open-ended retainer.
Can you build an MVP first?
Yes — we often start with the narrowest version that proves value in production, then expand once it's earning its keep with real users.
Who owns the code and IP?
You do. We build your product on your infrastructure and hand over full ownership of the code and models we create for you.
Which AI models do you use?
We're model-agnostic and pick the best fit for the job — frontier LLMs where they help, smaller or custom models where they're more reliable or cost-effective.
Let's talk about your ai product development project
Tell us what you're building and we'll show you how we'd take it from idea to live software.
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