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.
Pantasso Data Platform
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
Pantasso follows a five-stage path. Each stage is visible, auditable, and under the workspace owner's control.
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.
Pantasso organizes messages, documents, decisions, tasks, projects, and records while preserving the original source, author, and time. Important updates remain consistent and traceable.
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.
Choose what each assistant may read or change. Every answer and action keeps a record of the source, user, and rules involved.
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
Pantasso begins with the knowledge your team needs today, then adds structure, controlled agent access, reporting, and operational history as your needs grow.
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
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
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
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
For developers and technical evaluators
Pantasso is built for teams that need reliability, auditability, and control without requiring every user to understand the underlying architecture.
Query governed company objects with SQL, structured parameters, explain plans, index-aware access paths, and policy-aware reads, alongside cited natural-language questions.
Protect important company state with validation, constraints, optimistic concurrency, rollback, committed-state reads, and audit-grade transaction logs.
Bring relational records, documents, messages, files, events, vectors, relationships, metrics, and artifacts under one governed logical platform.
Sources are synced incrementally. Pantasso detects new, updated, and deleted records without re-ingesting the full source on every run.
Each workspace is a separate data boundary. Sources, objects, agent profiles, and query history are never shared across workspaces.
Trace answers from citations through canonical objects, transactions, transformed records, and original source payloads. Actor and policy evidence follows agent reads and writes.
Workspaces can be backed up and exported as structured data. Support diagnostics are redacted before transmission to protect sensitive context.
Typed connectors share preflight, checkpoints, bounded sync, transform, quarantine, replay, scheduling, and health contracts across SaaS, database, file, event, and custom sources.
Keep operational projections, materialized views, freshness evidence, and dashboards close to canonical state as the platform advances toward full transactional-analytical workloads.
Use hosted, dedicated, or operator-controlled deployments today, with the architecture advancing toward cloud, on-premises, hybrid, HA/DR, and enterprise fleet operations.
See a cited answer in the live demo, then talk with us about the first source and question that matter to your company.