Retrieval-augmented generation (RAG) is simple to demo and hard to run well. Our sales knowledge assistant answers technical questions across hundreds of products and 30+ services, from terabytes of manuals and technical files, at 99% accuracy.
Answer only from sources
The model answers only from retrieved passages, and every claim carries a citation the user can open. If the sources don't support an answer, the assistant says so instead of guessing.
People make it better
Reps correct and approve answers as they go. That feedback improves the next answer — and builds the trust that drives adoption.
Right answer, right moment, fewer hand-offs.
