Querio
Querio is an AI native analytics workspace that connects live to a data warehouse and answers plain English questions with SQL and Python notebook cells, grounded in file based context and workspace memory, with scheduled automations to Slack and email and an API and MCP for other agents.
Querio is an analytics workspace built around an AI agent. It connects live to BigQuery, Snowflake, Databricks, MotherDuck, Redshift, ClickHouse, PostgreSQL, MySQL, MariaDB, SQL Server, MongoDB Atlas and SAP HANA, and each explore runs the agent through notebook cells of SQL and Python in chat, hybrid or layout mode, producing visualizations, widgets, layouts and boards.
Teams teach Querio about their data in a file backed workspace: datasource catalogs and knowledge bases with files that define metrics and business rules, workspace memory, reusable skills and other context files. Automations rerun an explore or a new prompt hourly, daily, weekly, monthly or on a cron schedule and deliver to Slack or email, and people can also ask questions from Slack. An API with bearer tokens starts and continues conversations and returns their assets, plans include MCP access, and Querio can be embedded with SSO and white labeling.
Querio lists SOC 2, HIPAA, ITAR, GDPR and CCPA, documents admin and member roles and audit logs, and offers advanced SSO and SCIM, GovCloud and private deployment on Enterprise. It is priced per workspace, from a Startup plan at $5,000 a year.
Vendor details
Canonical URL
https://querio.ai
Category
Data analyst agent
Company status
independent
Use cases & customers
Integrations
Live warehouse and database connections: BigQuery, Snowflake, Databricks, MotherDuck, Redshift, ClickHouse, PostgreSQL, MySQL, MariaDB, SQL Server, MongoDB Atlas, SAP HANA, SSH tunnels, file upload; Slack and email delivery; API, MCP and CLI; embedding.
In practice
A revenue leader asks Querio why sales dropped last month, and the agent works through SQL and Python cells against the warehouse, leaving each step in the notebook for the data team to check.
A data team records revenue and churn definitions in the datasource knowledge base and workspace memory, connects Snowflake with read only credentials, and lets business users ask questions in plain English.
A finance team schedules a weekly automation that reruns its margin explore and posts the answer, tables and charts to a Slack channel every Monday.
Agentic Index coverage score
9.0 / 14 capabilities · 64%
| Integrations & Tool Calling | Partial |
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Querio connects live to BigQuery, Snowflake, Databricks, MotherDuck, Redshift, ClickHouse, PostgreSQL, MySQL, MariaDB, SQL Server, MongoDB Atlas and SAP HANA (with SSH tunnels) plus uploaded files, runs the SQL and Python it writes, and delivers results to Slack and email; no action in the connected systems or custom tool is documented. Sourcedocs.querio.ai/connect-data/integrationsread 2026-09-28 |
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| Workflow Orchestration | Partial |
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An explore runs the agent through notebook cells in chat, hybrid or layout mode, and automations rerun an explore or a prompt on a schedule, but no branching, conditions, multiple agents or multi step flow the buyer composes is documented; the July root cause pipeline came from Querio's marketing articles. Sourcedocs.querio.ai/analyze/explore-overviewread 2026-09-28 |
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| Knowledge Grounding & RAG | Full |
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Each datasource carries a catalog and a knowledge base of files, including executable Python and logic blocks that define metrics and business rules, alongside workspace context files and skills, in a file backed workspace the team inspects and edits; how files are retrieved per question is not detailed. Sourcedocs.querio.ai/teach-querioread 2026-09-28 |
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| Human Oversight & Guardrails | Partial |
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Only admins manage datasources and context, automations sit in draft until published and can be test run first, and warehouse connections use read only credentials with IP allowlisting; no approval step before an automated delivery goes out is documented. Sourcedocs.querio.ai/share-operationalize/automationsread 2026-09-28 |
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| Security, Identity & Governance | Full |
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Querio lists AICPA SOC 2, GDPR and CCPA on its security page and SOC 2, HIPAA and ITAR on its homepage, and documents admin and member roles, role based access with audit logs, and advanced SSO and SCIM on Enterprise. Sourcequerio.ai/securityread 2026-09-28 |
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| Observability & Auditability | Full |
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Each explore records the agent's work as notebook cells of SQL and Python with their results, a History view lists past explores, the API returns a conversation's full message history, and the homepage names audit logs. Sourcedocs.querio.ai/analyze/cellsread 2026-09-28 |
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| Memory & State Persistence | Partial |
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Workspace memory (a MEMORY.md file) keeps durable workspace level notes on terminology, rules, preferences and caveats that Querio reads in every conversation; the docs describe people writing it, not the agent, and no review or deletion path beyond editing the file is stated. Sourcedocs.querio.ai/teach-querio/memoryread 2026-09-28 |
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| Deployment & Data Residency | Full |
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Enterprise includes private deployment support and GovCloud, the docs cover self hosted deployments planned with Querio's team around the customer's infrastructure and networking, and the homepage offers private infrastructure deployment alongside the hosted cloud. Sourcedocs.querio.ai/admin/self-hostingread 2026-09-28 |
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| Prebuilt Agents, Templates & Packs | Partial |
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Skills are reusable instructions for repeatable tasks (the docs show compare periods and data dictionary as examples) that teams write and keep in the workspace, alongside saved layouts and boards; no packaged agents or template catalog is offered. Sourcedocs.querio.ai/teach-querio/skillsread 2026-09-28 |
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| Triggers & Channel Coverage | Full |
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Automations run hourly, daily, weekly, monthly or on a custom cron schedule, either refreshing an existing explore or running a new prompt, and deliver the answer with tables and charts to email or Slack. Sourcedocs.querio.ai/share-operationalize/automationsread 2026-09-28 |
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| Model Flexibility & Routing | Not documented |
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The homepage shows Claude alongside the product and says any agent can use Querio through MCP, API or CLI, which is outside assistants reading Querio; no model choice for Querio's own agent is documented. Sourcequerio.airead 2026-09-28 |
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| APIs, SDKs & MCP Extensibility | Full |
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A documented API at app.querio.ai/api/v2 with bearer tokens starts and continues conversations, lists and fetches them with full history and returns table and chart assets, and plans include MCP and internal API access, with a CLI named on the homepage. Sourcedocs.querio.ai/embed/apiread 2026-09-28 |
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| Testing, Debugging & Optimization | Partial |
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Automations can be test run before they are published and users can inspect and edit the SQL and Python cells, which is checking and debugging; no test set, scored cases or evaluation of the agent across changes is documented, and the July accuracy figures came from Querio's marketing articles. Sourcedocs.querio.ai/share-operationalize/automationsread 2026-09-28 |
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| Browser & Computer Use | Not documented |
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Querio works through warehouse connections, SQL and Python; no browser, desktop or computer control is described. Sourcequerio.airead 2026-09-28 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
Startup $417 per month, billed $5,000 per year per workspace; free to start
per workspace, billed annually, with an AI usage credit allowance
What is public
Startup and Core prices, inclusions and AI credit allowances; Enterprise is custom.
Variable cost rationale
A flat workspace fee with a fixed AI credit allowance; heavier agent use exhausts the credits.
Overage / add-ons
AI usage credits included by plan ($250 Startup, $1,000 Core); Enterprise custom allowance
Sales call required
Mixed (some tiers require a call)
Free / trial
Free to start, no credit card
Lowest paid plan
Startup ($5,000 per year)
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Alternatives to Querio
The closest documented capability profiles to Querio among data analyst agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Powerdrill8.0 / 14A lighter documented profile than Querio
- Lumi AI7.5 / 14A lighter documented profile than Querio
- Zenlytic11.0 / 14Adds documented Model Flexibility & RoutingQuerio vs Zenlytic →
- Actian AI Analyst9.5 / 14Adds documented Model Flexibility & Routing
- Athenic AI6.5 / 14A lighter documented profile than Querio
- Datafold11.5 / 14Adds documented Model Flexibility & Routing
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded