We partner with high-growth startups and established teams to architect scalable software systems, orchestrate AI workflows, and deliver decisive technical leadership.
Four pillars, engineered as one system. Each takes a problem from open question to a state you can build on.
Direction before velocity. Interim CTO and Chief of Staff advisory for the stages where a wrong decision costs a quarter.
The B2B stack works when its parts speak the same language. We wire it so GTM, data, and tooling stop competing with each other.
AI past the demo stage: workflows that run inside your operations, on models that fit your data and your cost line.
Infrastructure and system design with no legacy excuses — the kind of codebase the next team inherits without fear.
Three ways to engage, matched to where the work is. The model follows the problem, not the other way around.
Fractional technical leadership for pivotal stages and backfills — decision-making capacity, not slide decks.
Scoped designs, migrations, and AI agent rollouts with a defined end state and a date attached to it.
Capacity partnering with your existing team — inside your stack, your cadence, your call.
Enterprise delivery experience, carried through years of systems work — not a logo wall.
The work so far reads like a systems log: distributed architectures in production, AI operations past the pilot stage, and home-grown solutions integrated without re-platforming.
Every engagement ends the same way it starts — with a technical question answered at a level of detail your team can verify.
Ask about the record →Tell us where the system hurts. We reply with a technical read — what we would look at first, what it would take, and an honest call on fit.
Prefer to talk first? The consultation runs as a working session, not a sales call.
