On-site discovery
We enter the real workflow first: how the task happens, where it stalls, and who patches the gaps. The brief comes from the work, not from a meeting room guess.
no·on builds custom AI systems for 10-500 person SMBs. We start with one real workflow friction, ship in weeks, and seamlessly integrate into your daily work. No platform to migrate to, no team to retrain.
The spreadsheet that eats Thursday afternoons. The data trapped in a hundred PDFs. We start there, deliberately small. Within weeks, that task runs itself — you can see it, time it, and judge us on it.
No new login. No migration project. We build inside the tools your team already opens every morning. If your people have to be reminded to use it, we built the wrong thing — that's our standard, not your problem.
Behind that first task we're building your firm's working memory — a clean model of your projects, documents, and standards. The second automation ships in half the time of the first.
The same foundation that runs your operations starts producing what the world sees — proposals, case studies, your portfolio, always current, never rebuilt by hand at 11pm.
We enter the real workflow first: how the task happens, where it stalls, and who patches the gaps. The brief comes from the work, not from a meeting room guess.
We turn documents, spreadsheets, project records, and tacit rules into traceable structure. Not a decorative data warehouse — a reliable foundation for the next automation.
We build one useful, judgeable system first: a table, a workflow, an internal tool. Small scope makes feedback faster and trust easier to earn.
Launch is not the finish line. We keep maintaining, training, and improving the system, so the structure left by the first build makes the next one faster and cheaper.
Trusted by
A decade in architecture — Pratt, MAD Architects, Kengo Kuma — before AI. How a thing works and how it's perceived, designed by the same hand. No handoff.
Strategy, interface, data, and implementation stay connected.
The tool fits the way the team already thinks and works.
How it feels matters because adoption depends on trust.
The system meets your existing documents, spreadsheets, folders, and tools. The less ceremony it demands, the more likely it survives month six.
No platform rollout before the first result.
The work comes back in formats your team already uses.
We expand only after the first task proves itself.
Every engagement leaves behind structure that makes the next one cheaper. A year in, you own something no agency retainer leaves behind.
Clean structure compounds across tasks.
The second automation ships faster than the first.
You are not renting generic intelligence forever.
A conversation. You point at the friction; we scope one task. Within days: a pilot proposal and a one-page fee sheet. No discovery phase that bills by the week.
That fear is our design constraint. Existing tools, training included, increments small enough that nothing breaks.
Pilot: fixed monthly fee for 2–3 months, including deployment, data integration, training, and full use of what we build.
Annual — Base: maintenance, iteration, training, and all usage around what we built. One number, no meters.
Annual — Pro: Base, plus every new product we build for you, automatically included.
Aligned incentives: a flat number means we only do well when the system runs so smoothly you forget it's there.
Firms that want a big team on-site Monday — we embed deeply with a few firms at a time. Firms that need a spec sheet matched in a procurement portal — the consultancies do that well. And anyone shopping for an AI strategy deck — we make the thing the deck would have recommended.