We help startups turn "we should have AI in the product" into a shipped, reliable feature — assistants, search, automation, and agents built on top of your own data and systems.
Discuss Your Project
AI development, done properly, is mostly software engineering: prompt design, retrieval, structured outputs, evaluation, and the plumbing that connects a language model to your actual product and data. The model is one component, not the whole system.
We build the surrounding system — how data gets retrieved, how outputs get validated before your app trusts them, how failures get logged and reviewed, and how the feature fits into your existing backend — not just a chat widget bolted onto the homepage.
Examples of what this looks like in practice: an assistant that answers customer questions using only your product's documentation and account data; a search layer over years of internal reports that returns the right passage instead of a keyword match; an agent that reads an inbound request, checks it against your internal systems, and drafts the next step for a human to approve.
FinanceAI is a real example of AI/ML work we've delivered — read the full case study.
Tell us what you're working on and we'll discuss the technical approach, scope, and next steps.
Discuss Your Project
A US-based software development agency with a distributed engineering team, helping startups and growing companies build SaaS products, AI features, and the systems behind them.