What we build
Everything we do follows one arc: get the scattered information about one thing into one place, put an interface on it that people will actually use, and keep it alive as the business changes. You can start anywhere on that arc. Most clients end up walking the whole of it.
Three engagements, one arc
Start wherever it hurts most. The pieces are built to stack.
Connected data foundations
One record per thing — a product, an asset, a supplier, a project — assembled from every system that holds a piece of it. Duplicates merged, entities linked, kept current rather than migrated once. This is the groundwork everything else stands on.
Answers on your data
Ask in your own words and get an answer with its sources attached. Search and assistants that understand your vocabulary — part numbers, compound IDs, machine types — instead of guessing at it.
Prototype to product
The demo worked, everyone was enthusiastic, and six months later it is still a demo. We take it the rest of the way: real data, real users, someone to call when it breaks.
Working software early, then compounding
Week ranges below are typical rather than contractual — the shape holds, the numbers move with the domain.
Each phase ends with something you can use
Learn the domain
We sit with the people who feel the problem and map where the information actually lives. You get a plan and a first question worth answering, not a study.
First slice
Working software on your real data, in front of real users. Early enough that their reaction still changes the design.
Run and grow
We operate it, extend it, or hand it to your team. The second question is always cheaper than the first.
// typical stack — knowledge graphs, Python data pipelines, LLMs with retrieval and provenance, deployed in your infrastructure or ours
Compliance is an architecture decision
We work where traceability matters — GxP environments among them — so the audit trail is part of the first design rather than a phase bolted on at the end. Every derived value carries provenance back to the source it came from, access control mirrors how the organization is actually structured, and change history survives the next migration instead of starting over with it.
Validation is treated as a normal engineering activity, not a document exercise once the software is finished. Retrofitting any of this is what makes these projects fail late, and expensively.
Not sure where on the arc you are?
Describe the situation. We will tell you what we would do first.
Get in touch