AI Engineering

AI features on your own data, tested on your examples before release.

We build AI search, assistants and document reading into your product. Your experts approve the test cases, and you see the scores.

Tap or point to a neural net node, and the signal runs from it through the layers.

What you get

Your staff and customers get answers from your own documents and systems. You know the quality and cost of each AI feature before your users see it.

Document search
People ask questions in plain words, and each answer links to its source.
AI assistants
Assistants do tasks in your systems, and a person approves changes to records.
Document reading
AI reads PDFs, scans and emails, and a person checks unclear fields.
Quality scores
Each change gets a test score, so you see if answers get worse.
Cost tracking
You see what each answer costs and which data it used.
Provider choice
You approve each AI provider, and their terms keep your data out of training.

01
Scope
We choose one task with you and collect real examples from your team.
02
Test set
AI drafts test cases from your examples, and your experts approve each one.
03
Compare
We try several AI models on the test set, and you choose by score.
04
Build
Coding agents draft the code, and an engineer approves it once the tests pass.
05
Roll out
After you approve a preview, we release to a few users first.