Querio 1 0

Querio is an AI data analytics platform built around the idea of analytics as code. Teams and their AI agents build and maintain the analytics stack together, from data transformations (ETLs) to notebooks and dashboards, and everything is stored in a git repository the customer owns. The company describes it as loved by humans and built for agents.

How it works

You connect your data sources and ask questions in plain language. Querio's AI agent writes SQL and Python in notebook cells, runs them, and assembles results into tables, charts and boards. The homepage demo shows an agent asked for an executive board of last month's sales by rep and branch: it calls several tools, follows a saved layout skill, and uses definitions from a data catalog, such as revenue being net of returns. Because the work lives as code, analysts can review, edit and version it like any software project.

Agents and integrations

Beyond the web app, Querio offers a Slack agent, an MCP server and a command-line interface, so other AI tools can query governed data through Querio rather than connecting to databases directly. A shared catalog of metrics and definitions helps keep answers consistent across people and agents.

Pricing

Querio has no per-seat pricing and includes AI usage on every plan. The Free plan costs $0 a month and includes unlimited users, unlimited data connections, 500 AI credits a month, the AI agent, notebooks and dashboards, the Slack agent, MCP server and CLI, and email and in-product support. The Core plan, for companies rolling out governed analytics, is listed at $2,099 a month or $25,000 billed annually, and starts with a four-week pilot. Larger plans are available through sales.

Who it suits

Querio suits data teams that want self-serve analytics for colleagues without losing control of definitions, and companies building AI agents that need governed access to business data.

Things to consider

AI-written queries can be wrong in subtle ways, so check important numbers and keep metric definitions in the catalog up to date. Review access permissions before connecting production databases. The jump from the free plan to Core is large, so use the free tier to confirm fit first.