Introducing MintVani: The first enterprise Voice AI built as One System.
Meet MintVani
True agentic retrieval over your documents, databases and knowledge bases — not naïve search. Secure, real-time pipelines return answers with citations and confidence, so every response is traceable to its source and hallucinations are engineered out.
Agentic RAG plans its own retrieval, ranks sources, and grounds every answer — with citations a reviewer or regulator can follow.
The system reformulates queries, retrieves iteratively and reasons over multiple sources, not one lookup.
Every answer links to its source passages with a confidence score — full traceability by design.
Indexes update as new content arrives, so answers reflect the latest documents and data.
Honours your access controls so users only ever retrieve what they're entitled to see.
Connects to vector stores, document repositories, SQL and APIs through 150+ connectors.
If grounding is weak, the system says so or abstains — rather than inventing an answer.
Interprets the question and plans what to retrieve from which sources.
Pulls and ranks the most relevant passages across your permissioned data.
Generates an answer strictly from retrieved evidence, attaching citations.
Scores confidence and flags low-grounding responses for review.
Point us at a document set or knowledge base and we'll return a cited, governed RAG assistant.