AI features are easy to demo and hard to ship. We build LLM-powered systems that work reliably in production — measured, evaluated, cost-controlled, and grounded in real user data.
Our AI work spans retrieval-augmented generation, agent orchestration, structured output extraction, prompt evaluation harnesses, and cost-aware model routing. Every integration ships with evals and monitoring, not vibes.
We use OpenAI, Anthropic Claude, and open models where they fit — and we have strong opinions about when LLMs are and are not the right tool for the job.