AI features inside your own product.
What we build.
Copilots and assistants
Help that sits inside your app, where your users already work.
Search and summaries
Find the right record and say what matters in it.
Drafting and generation
Emails, reports and descriptions in your voice, ready for a person to check.
Structured extraction
Turn documents, forms and messages into clean data your systems can use.
How an engagement runs.
The feature, the success measure and what it takes to run.
The feature behind your interface, shown every week.
Rollout to real users with evals and usage limits.
Quality and speed watched after launch.
A typical engagement.
- Duration
- [6–12 weeks]
- Team
- [2–3 engineers]
- You get
- The feature in production, its evals and a runbook
- Starts with
- An AI Audit or a scoping call
Where it lives in your product.
Copilot
Beside the screen your users already work in, not in a separate app.
Search
In the search box they already use, with answers next to the results.
Drafting
Next to the field it fills in, ready for a person to check and send.
Extraction
Behind the scenes, in the pipeline that feeds your systems.
Before it goes into your product.
Are we locked in to one model provider?
No. The model sits behind one layer of your code, so it can be swapped when a better one arrives.
Will our data be used to train models?
[No. We use provider settings that exclude your data from training, and we never train on it ourselves.]
Can our team maintain it afterwards?
Yes. It lives in your repositories, with tests, evals and a runbook your engineers can follow.
How fast will it respond?
We set a speed target with you in the first two weeks and test against it before launch.