AI Engineering
We identify the knowledge that matters and design AI solutions where they actually work.
Overview
We design and implement AI capabilities tailored to your workflows — knowledge search, review and evaluation support, document generation, and more. This includes building RAG infrastructure and AI agents, as well as integration with existing systems.
The most critical part of AI adoption is designing what information to feed it. Judgment calls that veterans make from experience, decision histories buried in Slack threads and meeting notes. There's usually plenty of data, but it's not organized — it exists within individual departments but hasn't been brought together. We start by getting into the work itself, understanding what knowledge has been accumulated and what's missing.
Technology selection spans OSS to cloud services, judged by cost and practicality. Before choosing the tools, we identify what problem actually needs solving.