At Cashcrown, we build the model on your transactional and market data: the pipeline processes data through RAG, a model router (LLM) extracts structured predictions in range format, not a single-point number. Each result includes a list of factors shaping it and a confidence level – so agents or negotiators see where they stand before entering a conversation with a client.
Sensitive data is masked before being sent to the cloud, transaction history is kept locally where security policies require it, and results include automatic warnings for low model confidence – because hallucination of price is a real risk we explicitly show.
