Specific problems. Shipped solutions. Nothing else.
Every engagement targets one operational break — automation, decision intelligence, or data pipeline. We scope, build, and hand off in weeks. You leave with something you can run.
Pick the problem that fits
If none of these match your situation exactly, we'll say so on the first call. Honest scope beats a signed contract on the wrong problem.
Eliminate the manual work
Replace guesswork with signal
Data you can actually use
We build models that surface the right information at the right decision point — pricing, inventory, churn, routing — and connect them to your existing tools.
We map your highest-friction repetitive tasks and deploy AI workflows that run without human handholding. Typical delivery: four to six weeks.
We fix the upstream problem first — fragmented sources, stale exports, missing labels — so every AI layer downstream works on clean, structured input.
Four steps. Fixed scope. You own the output.
01 — Diagnose. We interview your team and audit your current stack. One week. We tell you what's actually broken, not what sounds impressive.
02 — Scope. We write a fixed-price brief: problem statement, deliverables, handoff criteria. No open-ended retainer. You approve before we build.
03 — Build. We deploy in your environment. Weekly check-ins. No black box — your team sees the system as it takes shape.
04 — Hand off. Documentation, runbooks, and a live walkthrough. The project ends when your team can operate it without us.
Tell us what's broken in your operation
Describe the problem in plain language. We'll tell you within one business day whether it's something we build — and if not, why not.