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