An AI development agency that measures before it builds
We are an AI development agency that will not start without a baseline number. Volume, time per case, error cost, and who owns the process. That page is the business case, and it is also what saves the project when the budget review comes.
No sales script. You talk to the engineers who'd build it.
Our team works a shifted day so you get real-time standups and same-day turnarounds in your time zone, not next-morning replies.
Every line of code, model weight, and prompt is yours from day one. NDAs and clean IP assignment are standard, not an upsell.
You work directly with the engineers building your system. No account managers sitting between you and the people writing code.
We move from scoping to a working system in production in weeks. Most engagements ship something usable inside the first month.
What we build
Concrete systems we ship, tuned to your data and your stack.
Scoping with numbers
Four figures on one page before any building starts. About a third of the time the arithmetic kills the idea, which is a good outcome in an afternoon.
Build in the open
Weekly demos against real data, so you can redirect before it gets expensive rather than after.
Ship and instrument
Deployed with logging, cost tracking, and guardrails, then tuned against production traffic rather than assumptions.
Handover or stay
Take the keys with full documentation, or keep us on for iteration. You are never locked in either way.
How we work
Scope & evals
We pin down what success means and build the evaluation set before writing the feature, so quality is measured, not guessed.
Build in the open
Weekly demos against real data. You see progress every week and can change direction before it gets expensive.
Ship & instrument
We deploy with logging, cost tracking, and guardrails in place, then tune against production traffic.
Hand off or stay
Take the keys with full docs, or keep us on for iteration. Either way you're never locked in.
Questions, answered
What makes an AI agency worth hiring over a general dev shop?
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The failure modes are different. AI systems fail quietly by producing plausible wrong output, so the skills that matter are evaluation, cost control, and permission design. A team that has not run these in production tends to discover that on your budget.
How much does an AI project cost?
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It depends on integration surface far more than on the AI itself, which is why we scope against your process before quoting. A single-process build is typically ten to fourteen weeks.
How quickly can you start?
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Days rather than months. That speed is most of the reason teams work with an agency rather than hiring.
Do we own the IP?
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Completely, from day one, with clean assignment and NDAs as standard.
Let's scope your build.
Tell us what you're trying to ship. We'll tell you honestly whether AI is the right tool and what it would take.