Six systems. All of them running.

The situation. A legal team with tens of thousands of documents — contracts, judgments, whole archives of scans — and questions that took hours of reading to answer.

What we built. An ingestion pipeline that reads everything, scans included, a search engine of our own on Postgres, and question-answering that cites the exact page it drew on. Expensive models only where they earn their keep.

What it changed. Lawyers ask in plain language and get an answer with verifiable sources in seconds. In daily production use since launch, maintained and improved continuously.

The situation. A single prompt does not run a process. Real work has roles, hand-offs, tools and moments where a human must say yes.

What we built. A platform where AI agents hold roles, plan a goal into tasks, delegate to each other, use tools, and stop at approval gates. Every step is logged and reviewable.

What it changed. Our own platform, under active development, and the foundation we use when a client wants a process — not a chatbot — automated.

The situation. An entertainment group needs a steady flow of campaign imagery and short video, on brand, without a studio day for every post.

What we built. A pipeline from brief to storyboard to rendered asset, with locked style profiles so results stay recognisably theirs, exposed as an API and called directly from their internal system.

What it changed. Production-ready assets in minutes instead of days, approved by a person before anything is published. In production.

The situation. Administration and a vehicle fleet run on spreadsheets, email and memory — fine until someone is away.

What we built. A web system with administration and fleet modules, roles and permissions, an audit log of every change, and an assistant that notices what needs doing before it becomes a problem.

What it changed. One place where operations live, with the AI help built in from the start rather than bolted on. Delivered in 2026.

The situation. Generating complete songs with AI usually means sending your ideas to someone else’s cloud.

What we built. A self-contained application that turns a description into a full song with separate stems, iterates in takes, and runs entirely on one local machine.

What it changed. Serious generative AI on hardware you own, with nothing leaving the building — the same approach we bring to clients with confidentiality requirements.

The situation. Actors and directors rehearse long before the full cast can be in the same room.

What we built. A tool that turns a script into rehearsal audio with a distinct voice per character, pauses taken from the stage directions, and the option to mute your own part and play against the rest.

What it changed. Rehearsal that fits a kitchen table and a pair of headphones. In use in theatrical productions.