Enterprise-grade AI engineering, sized for the rest of the market.

We close that gap the way a contractor does. You come with a problem, we scope it, quote it, and build it — infrastructure through interface — for companies between ten and five hundred people.

That word build is meant literally. We are not selling you access to a platform we own. Each system is fitted to one business, stood up inside that company’s own Google Cloud account, and handed over when it is finished. You hold the account, the code, and the data from the first day to the last. There are no seats to license and no subscription standing between your team and your own information.

The pattern we see is consistent. A business has twenty years of contracts, reports, records, and correspondence. Everyone knows there is value in it. Someone runs a pilot with an off-the-shelf tool, gets a demo that impresses in the room, and then watches it fall apart against real questions and real data. The conclusion drawn is usually “AI is not ready for us.” The actual problem was that nobody built the system underneath it.

That system is unglamorous. It is document parsing that survives a bad scan, schemas that match how your business thinks, pipelines that notice a changed file at 2am, access control that keeps payroll away from the wrong eyes, and an interface a non-technical person can use without a training session. None of it demos well. All of it determines whether the thing works in six months.

We build on Google Cloud exclusively, and that constraint is deliberate. Vertex AI, Document AI, BigQuery, and Cloud Run compose into a coherent system rather than a pile of integrations. Specializing in one ecosystem means we ship faster, debug faster, and can tell you what something will cost to run before we build it.

Everything we deliver is yours: Terraform in your repository, documented schemas, readable pipelines, and a runbook. If you decide to bring it in-house or hand it to another firm, that is a handoff conversation rather than an extraction project. We would rather earn the next engagement than hold your infrastructure hostage.

Every project then includes six months of tuning and fitting after it goes live. Real use surfaces what no build can predict — the questions people actually ask, the documents that parse badly, the answers that land wrong — and that half-year is when a system stops being what we thought you needed and becomes what you actually needed. It is priced into the project rather than sold back to you once you are dependent on it.

If you want us watching things beyond that, it is a separate and cancellable arrangement. End it and nothing switches off, because none of it was ever running on our side. Ongoing work should be something you choose because it is worth it, not something you are structurally unable to stop.