Pantasso
active
Pantasso turns approved chats, documents, files, and business systems into cited answers, canonical records, honest gaps, and scoped access.
Pantasso organizes operational knowledge into canonical company objects, SQL-accessible records, cited retrieval, agent profiles, and inspectable audit evidence. Its first value loop gives a team a source-backed answer or an honest gap report before an assistant is trusted with company context.
Questions
What is Pantasso?
Pantasso turns approved chats, documents, files, and business systems into cited answers, canonical records, honest gaps, and scoped access.
What problem does Pantasso solve?
Company knowledge is fragmented across tools and often unsafe or difficult for AI assistants to use. Pantasso organizes that knowledge into canonical records and makes both source-backed answers and honest gaps visible.
How does Pantasso support trustworthy AI answers?
Pantasso combines cited retrieval, SQL-accessible records, agent profiles, scoped permissions, readiness checks, and inspectable audit evidence so teams can see what an answer used and what the system does not know.
How does Pantasso relate to Cumulative Systems and Plasmate?
Pantasso is the governed company-context layer. Cumulative Systems keeps a model's own working state, while Plasmate gives agents structured access to the web.
Where can I learn more about Pantasso?
Visit pantasso.com for the product overview, hosted beta, and interactive demonstration.