For data teams — hosted public beta
The hosted public beta starts with approved files. Slack, Drive, Telegram, and GitHub need a connection; other families are listed. Track the sources you approve, trace every answer, and stop rebuilding the same picture from scattered exports.
The problem
Company data often lives across messaging, Google Workspace, Microsoft 365, email, calendars, spreadsheets, admin directories, code and project systems, CRM, finance, commerce, support, observability, cloud audit, files, databases, webhooks, SDKs, and structured imports. The hosted public beta does not ingest that whole map on day one. Start with Files and Obsidian. Slack, Drive, Telegram, and GitHub need a connection. Other families are listed, not live.
Pulling context together for a report or analysis means switching tabs, copy-pasting snippets, and hoping nothing changed since you last checked. The process does not scale.
AI assistants answer questions about company data without knowing where the data came from, when it was last updated, or whether the person asking should see it.
How Pantasso helps
See source status at a glance. Files and Obsidian are the live first source. Slack, Drive, Telegram, and GitHub need a connection. Other directory families are listed, not a live SaaS, repository, chat, or database map. Pantasso tracks sync freshness and connection health for sources you have approved. Problems surface as warnings, not silent failures.
Messages, documents, files, and decisions are organized into typed records with consistent metadata alongside business records, projects, tickets, and source payload refs. Your team works with structured records instead of raw text dumps, making downstream analysis reliable and repeatable.
Every answer traces back to its source. When a team member or an AI assistant asks a question, Pantasso returns the relevant records and their origin.
Governance
Data teams need to answer hard questions about lineage, freshness, and access. Pantasso makes those answers visible without forcing every user to understand the underlying architecture.
Every source connection records which team member authorized it, when it was approved, and what scope was granted. No invisible integrations.
Source health monitoring tracks freshness for the files-first workspace and any source you later connect. Stale data is flagged before it becomes a problem.
Full audit trail of every retrieval request, including what was returned, what was cited, and where gaps were reported. Nothing is hidden.
Give your data team one workspace where approved sources become structured records, trusted retrieval, and audit-ready evidence.
