There’s a wide gulf between an LLM demo on a laptop and an AI system that survives contact with real users, real data, and a real production environment.
We started AI Studio because most teams don’t need another consulting deck. They need engineers who can scope a problem honestly, build the thing, harden it, and hand over a system their own team can maintain.
We work with companies whose teams are sharp but stretched — where AI is suddenly on the roadmap and there’s no time to spend a year hiring a research org.
Four principles we keep coming back to.
Every system we ship has a real eval suite. No “it feels better with this prompt.”
Two or three engineers per engagement, owning the whole stack. No hand-offs to a different team.
If we don’t think AI will help, we’ll say so — before you sign anything.
Your team should be able to maintain what we build. Docs, runbooks, and pair sessions come standard.
We take a small number of engagements at a time. Get in touch and we’ll let you know what’s realistic.
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