Quick entry.
Decisive exit.
Principals only.
Two to four senior operators on your codebase. No juniors, no subcontractors, no hand-off to a second team.
Right tool, not just AI.
We audit your processes before writing a line of code. Some problems need an LLM. Others need classical ML, deep learning, or a simple rule engine. We tell you which — honestly.
Cost-optimal agents.
When agentic workflows are the right answer, we build them with the right model at every node — not the most expensive one. Inference cost is part of the design, not an afterthought.
Signed handoff.
We leave the keys, the docs, the on-call runbook, and the rollback plan. The day you don't need us is the day we're gone.
Three windows.
No retainer.
We don't bill hourly. We don't expand scope. Every window is fixed in price, scope, and exit date — signed at week one.
AI Audit & Discovery
Week one. We sit with the operator who owns the outcome. For AI initiatives we map your processes, identify genuine use cases, and decide whether you need an LLM, traditional ML, or no model at all. You get a fixed price and a fixed window, or a polite no.
Build sprint
Two to four senior operators. Weekly written demo. We work on your codebase, in your stack, with your team in the room. When agentic workflows are in scope, we pick the right model at each node to keep inference costs sane. You can stop at any demo and pay only for what we shipped.
Signed exit
The team that takes it over is the team that has been there since week three. We hand over the keys, the docs, the on-call runbook, and the rollback plan. Day 56, or whatever your day is.
Choose a window.
Three ways to work with us. Each is fixed in scope and exit date, priced once we've scoped it at discovery. The “stop” button is always on your side of the table.
If you need it
shipped — enquire.
Tell us the outcome and the window. We'll come back inside one working day with a scoped engagement or a polite no.