Ship a chatbot that answers from your data, not the internet
We build retrieval-augmented generation systems that pull from your documents, support history, or product data and return accurate, grounded answers. No hallucinations. No wrappers around ChatGPT.
The problem
Sound familiar?
The solution
What we actually do
We build the full RAG pipeline — ingestion, chunking, vector storage, retrieval, and generation — with evaluation built in from day one. Your chatbot answers from your data, cites its sources, and escalates when it does not know.
What you get
What's included
The process
How it works
We map your knowledge sources and build the ingestion and chunking pipeline.
We build the vector store and tune the retrieval layer against your real queries.
We wire the LLM with grounding, citations, and escalation logic.
We run accuracy benchmarks and hand off with a live monitoring dashboard.
Proof it works
The offer
Scoped per document volume and integration complexity. Most projects deliver in 4–8 weeks.
Common questions