AI solutions
Most AI projects fail because nobody defined what a correct answer looks like. We start with the evaluation — how you will know it works — and build backwards from there. If a rules-based approach would be cheaper and more reliable, we will tell you.
Who it's for
Teams with a genuine use case — support triage, document search, structured extraction — who want it to work reliably.
What's included
- Feasibility assessment before committing
- Retrieval over your own documents
- Assistants and automated workflows
- Evaluation, so quality is measured not assumed
- Cost and latency budgeting
Built with
OpenAI and Anthropic APIsVector searchPythonTypeScript
Timeline
Typically 2–4 weeks for a pilot, longer to production. The exact figure goes in your written scope before anything starts.
How it runs
- 01ConversationYou tell us what you are trying to build and why. We ask questions, and we say early if we are the wrong studio for it.
- 02Scope and estimateA written scope: what gets built, what it costs, how long it takes. No work starts before you have agreed to it.
- 03BuildWork in short cycles with something to look at each time. You see progress as it happens rather than at the end.
- 04Launch and afterRelease, handover, and documentation. Ongoing maintenance if you want it, and a clean exit if you do not.
Need ai solutions?
Tell us what you are trying to build. We reply within two working days with questions or an honest answer about fit.