Company context for AI agents — hosted public beta

Give every AI agent context it can trust—and boundaries it must follow.

In the hosted public beta, start with Files or Obsidian. Slack, Drive, Telegram, and GitHub need a connection. Then let existing assistants use only the company information you approve, with citations and a reviewable history.

The short answer

In the hosted public beta, Pantasso gives AI agents a shared source of approved company context with citations. Files and Obsidian are the live first source. Slack, Drive, Telegram, and GitHub need a connection. Each agent receives a scoped profile that defines what it may read, draft, or escalate. The profile does not create new source access; it applies clear boundaries to information the workspace owner has already approved.

How does an AI agent use Pantasso?

Before answering a company-specific question, an assistant queries Pantasso with its assigned profile. Pantasso returns cited context within that scope. The assistant can then answer from evidence, ask for clarification, or escalate instead of silently relying on stale prompt text.

Research assistant

Read approved product notes and customer research, but do not change records.

Operations assistant

Review project context, prepare a draft update, and require approval before a write.

Executive assistant

Summarize decisions from selected sources without exposing restricted team material.

Does Pantasso replace the agent framework or model?

No. Agents can keep running in the tools and frameworks where they already work. Pantasso supplies governed company context and controlled data or tool access through documented interfaces. Teams choose their model and agent runtime while Pantasso remains the authoritative source for workspace context and activity evidence.

How are agent actions controlled?

Profiles separate reading, drafting, escalation, and permitted actions. The workspace records the actor, source state, and applicable boundary for review. The exact write and approval workflow depends on the connected system and the capability confirmed during onboarding; a context profile alone never grants write access.

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 improves grounding and accountability; it does not guarantee that every model output is correct.

Read and write permissions must be deliberately configured for each agent and connected system.

High-impact actions should retain human approval until the team has validated the workflow and its evidence.

See the answer before discussing the architecture.

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