/ Capabilities · AI
AI implementations
Practical AI inside existing operations — assistants, document workflows, and model integrations that pay for themselves.
/ Approach
AI is most useful when it disappears into existing operations — a copilot inside the tool your team already uses, a document pipeline that handles the messy paperwork, an assistant that answers questions about private data.
We focus on the practical: clear use cases, retrieval over your real documents, model choice grounded in cost and latency, and guardrails so the system doesn't go off the rails in production.
Evals, observability, and cost control aren't afterthoughts. We instrument AI features the same way we instrument any other production system, because that's what makes them trustworthy.