Data Engineering & Intelligence

Pipelines that land clean, documented data; a warehouse or lakehouse with tests; and, where you need retrieval, chunking and embeddings that your agents can actually find. The model is the last piece, not the first.

Yes. BigQuery, Snowflake, Postgres, and the usual SaaS extracts. We model what you have, rather than asking you to migrate unless the current store cannot do the job.

Chunking, embeddings, and retrieval tuned on your documents, with evaluation so we know whether the right passage comes back. Generation stays grounded in that source, not in the model's guesses.

Yes. Parsing unstructured documents into a schema, then into the warehouse or a vector index, is a large share of this work.