We add AI features to your existing product

For teams with a live product and a roadmap full of AI ideas. We build the feature inside your codebase and your design, and your users never leave the app.

Where AI features stall

Your team is busy shipping the roadmap

The AI feature keeps losing to the next release. A short, focused engagement gets it built without pulling your engineers off core work.

A chatbot bolted to the side isn't a feature

Users want the product to be smarter where they already are: search that understands them, drafts they can edit, summaries of their own data.

Latency, cost and failures are product problems

A slow or flaky model call is a broken button. Streaming, fallbacks, caching and spend limits need design from the start.

Nobody knows if it's any good

Without a small set of test cases and a way to review outputs, every prompt change is a guess.

What you get

  • The feature shipped inside your existing app, matching your stack and your design system
  • Streaming responses, sensible failure states and per-user or per-account spend limits
  • A small evaluation set so you can change prompts or models without guessing
  • Documentation your own engineers can pick up and extend

How we add a feature

  1. Step 1

    Read your codebase

    We start in your repo and your architecture, so the feature fits what exists instead of fighting it.

  2. Step 2

    Pick the smallest useful version

    One feature, one user job. We agree what good output looks like before writing any model code.

  3. Step 3

    Build behind a flag

    Ship it dark, test with your own team and a few real accounts, and watch quality and cost before everyone sees it.

  4. Step 4

    Release and hand off

    Roll it out, document how it works, and walk your engineers through where to change prompts, models and limits.

Common questions

Tell us what you're working on.

A 30-minute call with the people who would do the work. If we're not the right fit, we'll say so.

Send us a message