Pantasso, explained — hosted public beta

What is Pantasso?

A plain-language guide to the hosted public beta: what Pantasso does, who it is for, and how it differs from search, a vector database, or another AI assistant.

The short answer

In the hosted public beta, Pantasso is a company data platform that keeps approved company context current so people and AI assistants can answer and work from the same source-backed evidence. Files and Obsidian are the live first source. Slack, Drive, Telegram, and GitHub need a connection. It preserves original sources, authority, time, and access boundaries.

What problem does Pantasso solve?

The state of a company is scattered across files, chats, documents, tickets, business systems, and people’s memories. In the hosted public beta, Pantasso starts with approved files. Slack, Drive, Telegram, and GitHub need a connection before those sources join the workspace. It keeps approved activity organized as shared operating context and preserves why each item is believed.

Find the decision

Ask what was decided and see the files or documents behind the answer.

Inspect the receipts

Every grounded answer links to the files or documents behind it.

Share trusted context

People and assistants use the same approved company information and access rules.

How is Pantasso different from enterprise search?

Enterprise search is primarily designed to help people find documents and passages. Pantasso also organizes important company records, supports detailed queries and controlled updates, gives assistants scoped access, and preserves a history from original source to answer or action. Search is part of the experience, not the whole product boundary.

How is Pantasso different from RAG or a vector database?

RAG is a technique for giving a model retrieved context, and a vector database is one way to find semantically similar material. Pantasso provides the surrounding company system: approved connections, source history, structured records, citations, agent permissions, operational queries, recovery, and audit.

Who should use Pantasso first?

Pantasso is a strong fit for teams introducing AI assistants into real company work and for data or operations leaders who need answers to remain traceable. A good first project starts with Files or Obsidian, one recurring question, a clear privacy boundary, and an owner who can verify the result.

Current boundaries

What should buyers know before choosing Pantasso?

Pantasso is sold with founder-led onboarding. We scope the first source, question, access boundary, and proof of value together instead of promising instant coverage.

The hosted public beta starts with Files and Obsidian; Slack, Drive, Telegram, and GitHub need a connection.

Pantasso does not create facts that are absent from approved sources.

A connected source does not automatically grant every person or assistant access to it.

Connector scope and enterprise requirements are confirmed against named product evidence during onboarding.

See the answer before discussing the architecture.

Explore a cited answer in the demo, then plan one useful source with Pantasso.