What we do

Services

Four practices, one team. We take systems from prototype to something you can run on a Tuesday without holding your breath.

Applied LLM systems: RAG over your data, agentic workflows, evaluation harnesses, prompt-engineering at scale.

Classical ML where it fits: forecasting, classification, recommendation. We pick the simplest model that works.

Kubernetes, observability, CI/CD, secure infrastructure — so your AI doesn't fall over the day after launch.

Connecting language models to the systems you already run, with the evaluation and guardrails to keep them honest.

Not sure which you need?

Tell us what you're building and we'll tell you straight.