Pantasso Data Platform

One trusted foundation for company knowledge, data, and AI.

Connect the tools where work happens. Get answers with sources. Give assistants only the context they should use. Pantasso keeps it all organized, current, and accountable.

How the platform works

From one approved source to trusted answers and action.

Pantasso follows a five-stage path. Each stage is visible, auditable, and under the workspace owner's control.

1

Connect approved sources

Pantasso pulls approved records, messages, documents, files, events, and threads from 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. Sources are opt-in and scoped by the workspace owner.

2

Organize important information

Pantasso organizes messages, documents, decisions, tasks, projects, and records while preserving the original source, author, and time. Important updates remain consistent and traceable.

3

Ask questions with evidence

People and assistants can ask natural-language questions and receive cited answers. Teams can also use structured queries and views when they need deeper analysis.

4

Give assistants clear boundaries

Choose what each assistant may read or change. Every answer and action keeps a record of the source, user, and rules involved.

5

Monitor and improve

See source freshness, recover failed syncs, review activity, retain backups, and expand the workspace as your company needs more coverage.

Built for real company work

Start with an answer. Grow into a shared operating foundation.

Pantasso begins with the knowledge your team needs today, then adds structure, controlled agent access, reporting, and operational history as your needs grow.

36 integrations, one ingestion contract.

Pantasso ingests from Slack, Microsoft 365, Google Workspace, Gmail, Calendar, Sheets, Admin Directory, Telegram, GitHub, GitLab, Notion, Linear, Jira Cloud, Salesforce, HubSpot, Stripe, Shopify, QuickBooks Online, Xero, Zendesk, Intercom, PagerDuty, Datadog, Sentry, Cloudflare, AWS CloudTrail, Vercel, Files and Obsidian, Supabase, Structured Database, Signed Webhooks, Connector SDK, and MCP-compatible JSON imports. Each source is individually approved by the workspace owner. No blind bulk imports, no accidental exposure. Start with one source and expand as trust builds.

Source ingestion

  • Messaging, chat, email, files, and documents
  • Project systems, repositories, tickets, and deployments
  • CRM, spreadsheets, admin directory, and business records
  • Databases, structured JSON, and MCP-compatible imports
  • One preflight, checkpoint, transform, replay, and audit pattern

Company knowledge and operational state, organized as governed objects.

Pantasso does not stop at an answer index. It maps source material into typed objects: messages with thread context, documents with section structure, decisions with participants and outcomes, tasks with owners, and records with source ids. Canonical writes add validation, conflict handling, and transaction history while every object remains linked to its origin.

Structured workspace

  • Typed objects: messages, docs, decisions, files
  • Full provenance on every record
  • Queryable by SQL and natural language
  • Transactional write boundaries for important state
  • Incremental sync keeps objects current

Set the rules once. Give people and assistants consistent answers.

Choose which sources may be used, require citations, define what happens when information is missing, and keep those rules consistent across your team, applications, and assistants.

Trusted answers

  • Approved sources and information scope
  • Required citations and honest gaps
  • Freshness and response limits
  • Repeatable quality checks
  • Shared by people, apps, and assistants

Give AI assistants safe, scoped company context.

Each AI assistant gets a profile that defines exactly what it may access. Profiles specify readable sources, draft permissions, and escalation rules. Assistants check Pantasso for company context before answering, and the profile ensures they never see more than they should.

Agent profiles

  • Per-assistant source access controls
  • Read, draft, and escalation boundaries
  • Activity logs for every agent interaction
  • Works with any LLM or agent framework

For developers and technical evaluators

Technical depth under a simple interface.

Pantasso is built for teams that need reliability, auditability, and control without requiring every user to understand the underlying architecture.

Native SQL and query planning

Query governed company objects with SQL, structured parameters, explain plans, index-aware access paths, and policy-aware reads, alongside cited natural-language questions.

Transactional canonical objects

Protect important company state with validation, constraints, optimistic concurrency, rollback, committed-state reads, and audit-grade transaction logs.

Multi-model company data

Bring relational records, documents, messages, files, events, vectors, relationships, metrics, and artifacts under one governed logical platform.

Incremental sync

Sources are synced incrementally. Pantasso detects new, updated, and deleted records without re-ingesting the full source on every run.

Workspace isolation

Each workspace is a separate data boundary. Sources, objects, agent profiles, and query history are never shared across workspaces.

Audit and provenance

Trace answers from citations through canonical objects, transactions, transformed records, and original source payloads. Actor and policy evidence follows agent reads and writes.

Backup and export

Workspaces can be backed up and exported as structured data. Support diagnostics are redacted before transmission to protect sensitive context.

Interoperability runtime

Typed connectors share preflight, checkpoints, bounded sync, transform, quarantine, replay, scheduling, and health contracts across SaaS, database, file, event, and custom sources.

Operational analytics

Keep operational projections, materialized views, freshness evidence, and dashboards close to canonical state as the platform advances toward full transactional-analytical workloads.

Deployment choice

Use hosted, dedicated, or operator-controlled deployments today, with the architecture advancing toward cloud, on-premises, hybrid, HA/DR, and enterprise fleet operations.

See what Pantasso can do with your company data.

See a cited answer in the live demo, then talk with us about the first source and question that matter to your company.