An agentic AI development agency built around weekly demos
We run agentic AI work the way a good agency should: a small senior pod, weekly demos against your real data, and something usable in production inside the first month. You can change direction any week, which is the point of the cadence.
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.
Small senior pods
Two to four engineers who know each other's work, not a rotating bench. The people on the call write the code.
Weekly demo cadence
Working software every week against real inputs. Progress you can see rather than a status report you have to interpret.
Fixed-length discovery
Two weeks to find the process people actually perform, not the one the documentation describes. Everything after depends on it.
Retainer or project
A defined build, or ongoing capacity as your agent portfolio grows. Both come with the ability to stop.
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
How is an agency model different from hiring a firm?
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Speed and reversibility. You get a pod that starts in days, works in weekly increments, and can be stopped at any point without a change request negotiation. That suits agent work, where the scope genuinely changes once you see the first real outputs.
What happens in the first month?
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Two weeks measuring the process and starting your credential provisioning, then two weeks building against a random sample of real inputs. By week four you have something running end to end that you can compare against what a human did.
Can you take over an agent someone else built?
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Regularly. Usually the fix is integration, permissions, and evaluation rather than the model, and we can tell you which within about a week of looking.
Do we own the output?
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All of it from day one: code, prompts, tool definitions, evaluation sets, and traces.
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.