build
Put AI into production where it solves a real problem.
We build model-backed workflows with evaluation, observability, human review, and release discipline from day one.
what gets shipped
Model capability is only useful when real teams can trust it.
01
AI-assisted workflows
Design AI-assisted flows around the decision, the data, the fallback, and the person who owns the outcome.
Output: workflow slice with review states.
02
Evaluation harnesses
Build test sets, scoring runs, and release gates so teams know when a model is getting better or drifting.
Output: repeatable evaluation dashboard.
03
Production controls
Add logging, traceability, version control, and escalation routes before the workflow reaches your customers or your team.
Output: observable production path.
launches
Related work.
Let's talk
Tell us where the AI workflow needs to hold up in production.
Tell us what you are trying to build, what exists today, and where it is stuck. We will say what we'd tackle first, who should be in the room, and whether we're the right team for it.