Advice with the engineering to follow through.

We help founders and teams make technical decisions, build useful software and improve the systems they already have. AI accelerates the work; it does not replace judgment about what to build or how to run it.

Bring a real decision.

A product direction, a difficult integration, an unreliable workflow, or a question about AI. We look at the constraints and trade-offs with you, then agree a practical next step.

Work with us, not around us.

Engagements can include a focused review, an embedded engineering role or a build. The scope should make responsibilities clear: what changes, how we check it, and who maintains it.

Keep deployment choices open.

We consider hosted services, private models and hybrid setups without assuming one provider is always right. Moving a workload back to infrastructure you control can be useful, but it also brings operating responsibilities. Privacy and continuity depend on the whole system—not just the model host.

Compare private-AI and deployment options →

Talk through the work.

Choose an introduction, a working session or a private-AI conversation with Brian.

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