Services
Every engagement starts with a two-week architecture sprint on your systems. Build follows a Go, by the people who ran the sprint.
How to engage
For
One problem, a handful of systems, and a budget decision that needs a production path first.
You get
For
The sprint held up. You have a deadline, a definition of done, and systems we already mapped.
You get
For
The first system is live. You want the next integration, workflow, or team on the same spine.
You get
We work in your cloud and your repos, under your access rules. Not a parallel delivery org. Not staff augmentation.
The four practices
That is the order a production AI system actually needs. Same team through all four.
Where every engagement starts. Two weeks, one problem, a Go/No-Go before anyone funds a build.
We work in your APIs, data, and access rules. You leave with architecture, risks, an estimate, and a recommendation. Not a prototype theatre. Not a forty-page deck.
Agents that call tools, stop for a person, and leave a trace.
Orchestration, scoped permissions, approval gates, evaluation, and fallbacks. Controlled autonomy in the systems you already run.
Retrieval you can cite, and models you pick for the job.
Permissions-aware retrieval with citations. Classical ML when an LLM is the wrong tool. Custom models for vision or signal when off-the-shelf fails.
Models in the product and infrastructure you already run.
Auth, APIs, data access, latency, and cost from the first hook. Full-stack when the feature needs a surface, not only a model call.
Tight enough to decide. Not a production delivery. If the architecture will not hold, we say No-Go before you fund the project.
The use case, the metric that matters, the systems and who owns them, and what must not happen in production.
Candidate architecture, integration path, evals and fallbacks, plus latency, privacy, and cost constraints.
Implementation plan, estimate, acceptance metrics, and a written recommendation. Stop if it will not work.
Fixed scope. Honest stop. A production project only if the sprint holds up.
No open-ended retainers. One problem, one price, one timeline.
The sprint is tight enough to decide. The 6–8 week project is the first system in production — not a demo.
Your lead talks to the people who will build it. No account-manager layer.
Architecture, risks, and a recommendation. If it will not work, we tell you before you fund the build.
Two weeks later you have a path, or an honest stop. No committee. No forty-page proposal.