AI systems that move your KPIs.

A workflow audit. We map how work moves across your teams and systems, then rank what's worth automating by return. You keep the ROI map whether or not you build with us.

We've built AI products and implemented systems for national news broadcasters, law firms, universities, and restaurant chains, among others. But our edge isn't a single vertical — it's a method: we embed deeply enough in your team to earn real context, design AI systems that translate to measurable ROI, then implement and handle the upskilling so the gains actually hold.

Weeks, not quarters. Tightly scoped builds go live fast; we widen scope once the first one is earning.

A tight team of three, with deep experience across engineering, design, ML and deep learning, product, and research. We keep engagements selective and few by design — it's how we deliver in weeks, not quarters.

Limited. We need your people for context — how the work really runs, how your best operators decide. We do the building.

No. We build on top of what you already run — LMS, CRM, identity, comms. We sit above the systems you depend on, not in place of them.

Your choice. Model-swappable by design — Claude, GPT, Gemini, or open-weight, per workflow. Your cloud or on-prem. DPDP-aligned by default; your data stays in your perimeter.

No two are the same. Every engagement is shaped to one company. We get sharper with each, but you never get a template.

We'll tell you. Part of the audit is naming where AI doesn't earn its keep. We'd rather scope you out of a bad build than sell you one.

Because building AI alone rarely lands. Pairing your own people with an outside specialist takes the success rate from roughly 22% to 67% (MIT NANDA, 2025) — one hire can't carry scoping, domain modelling, production engineering, and the judgment to know which workflow is even worth touching. We bring all of it, then hand the running system back to your team.