What we do · 04
Product engineering
AI is one part of a product. We build the rest: the workflow, the data model, the APIs and the workspace experts use all day, so the AI has somewhere sound to live.
Some products are hard because of the domain, not the interface: specialist terms, rules with exceptions, and decisions where one missed detail changes the result.
We turn those processes into data models, rules, APIs and interfaces, working with your domain experts until the software matches how the work is done. Where AI helps, it fits into that structure instead of sitting beside it.
What we build
01
Workflow and data modelling
Who does what, with which data, and a model of the domain that keeps history and survives new requirements.
02
APIs and backend
Typed, validated APIs, relational data, keyword and vector search, and integrations that retry safely.
03
Specialist workspaces
Data grids, document viewers, diagrams and reports that stay consistent with each other, with progress shown for long-running AI work.
What you get
- Software that matches how the work is really done
- A data model you can extend with confidence
- Interfaces experts can work in all day
Related work
Questions
Do you only build AI products?
No. AI is one tool. Many problems are better solved with well-built conventional software, and we will say so.
Which stack do you use?
Our hands-on depth is in React, TypeScript, Python, FastAPI and PostgreSQL on AWS. We work within your stack when that is the sensible choice.
Also
Have an AI system to deliver?
Tell us what your client needs, or what your team is stuck on. We reply within two working days.
Talk to us