Hallucination
Assistants fill gaps with plausible-sounding fiction when they lack company context.
Cited retrieval: Every answer traces back to a workspace source. Assistants answer from cited context, not invented company fact.
For AI teams — hosted public beta
Give AI assistants current company context.
Pantasso is a hosted public beta. Start with Files or Obsidian, then connect Slack, Drive, Telegram, or GitHub. Ground assistants in approved sources, choose what each assistant can see, and expose missing context instead of hiding it.
The challenge
AI assistants are only as good as the context they get.
When company knowledge is scattered, teams spend more time assembling prompts and checking answers than building useful workflows.
Scattered context
Company context 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 starts with Files and Obsidian. Slack, Drive, Telegram, and GitHub need a connection. Other families are listed, not live. Assistants only see the sources you approve.
Shared company context: Pantasso keeps approved company context current so assistants use the same source-backed evidence.
No audit trail
When an assistant makes a claim, nobody can trace where the information came from or whether it was current.
Full provenance: Every retrieval is logged with source, timestamp, and scope. Workspace owners see exactly what each agent accessed and when.
Capabilities
Built for teams that ship AI assistants.
Agent profiles with scoped access
Each AI assistant gets a profile that defines which sources it can read and what boundaries it must respect. Profiles are workspace-level, so adding a new assistant does not require reconfiguring sources.
Agent Profile: Research Assistant — Sources: Files /notes — Boundary: read-only, cite sources
Cited retrieval for grounding
When an assistant queries Pantasso, it receives source-backed context with inline citations. If the workspace does not contain enough information to answer, the response says so explicitly rather than guessing.
Query: "What was decided about the API migration?" — 3 sources cited — Confidence: high
Workspace health monitoring
A single dashboard shows source freshness, agent activity, retrieval gaps, and ingestion status. AI teams see at a glance whether their assistants have current, complete context to work from.
Sources: Files live, Slack needs a connection — Agents: 1 scoped — Gaps: reported, not guessed
How AI teams use Pantasso
From scattered sources to grounded assistants.
1
Start with one approved source.
The hosted public beta starts with Files and Obsidian. Slack, Drive, Telegram, and GitHub need a connection. Other directory families are listed, not live. Pantasso only indexes what you explicitly select.
2
Create agent profiles.
Define which sources each assistant can access and what boundaries apply. Profiles are reusable across assistants that share the same scope.
3
Assistants query Pantasso first.
Before answering a company-specific question, your assistant checks Pantasso for cited context. Gaps are reported transparently.
4
Monitor and improve.
Use workspace health to find stale sources, review retrieval gaps, and expand coverage where assistants need better context.
Ready to ground your AI assistants in real data?
Give each assistant a scoped Pantasso profile backed by approved sources and citations before it answers for the company.