Overview
Production LLM systems are data systems first and model systems second. The hard problems — retrieval quality, evaluation, drift, cost, and reproducibility — are all upstream of the model itself. We design the data architecture that makes those problems tractable, whether you’re running RAG over an internal knowledge base or fine-tuning on proprietary data.
Reference Architecture
Engagement Model
Engagements typically begin with an evaluation harness so every subsequent change — new embedding model, new chunking strategy, new retriever — can be measured against a fixed benchmark. From there we iterate on retrieval and prompt design with confidence that improvements are real rather than anecdotal.