Founding Engineer
Querio
Querio is a git-native analytics platform that lets business users and AI agents build and maintain the entire analytics stack—from ETLs to dashboards—in a customer-owned git repository. The platform connects directly to databases, uses AI agents with shared business context to answer natural-language queries, and provides access through Querio's interface, Slack, MCP, CLI, and API. It includes version-controlled metric definitions, AI-powered notebooks, dynamic dashboards, and automations for scheduled reports.
- Data & Analytics
- Enterprise Software
- AI Agents
- Artificial Intelligence
- Software Only
Updated yesterday
Funding
Raised to date
$5MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 1 round
AI+1$5M · Seed
Announced Oct 2026
Disclosed cumulative: $5M
RoundDateAmountValuationInvestors
Founders
Product
Problem
Traditional business intelligence (BI) tools are complex, require specialized technical skills, and often force business teams to rely on data teams for even basic questions. This leads to slow decision-making, missed opportunities, and a disconnect between the people who need data and the systems that hold it.
Solution
Querio offers a git-native analytics platform where business users and AI agents can build and maintain the entire analytics stack—from ETLs to dashboards—in a git repository the customer owns. The platform connects directly to major databases and uses AI agents with business context to answer natural-language queries, eliminating the need to know the underlying data structure. Users can explore data through AI-powered notebooks, create dynamic dashboards, and track KPIs by simply describing what they need. All context—metrics, semantics, and business rules—is defined once in a version-controlled layer that every agent and tool reads, ensuring consistent definitions across the organization. Querio also provides access through CLI, MCP, Slack, and API, enabling self-serve analytics wherever users work.
Target Audience
Querio targets business teams across product, data, operations, and finance departments, as well as data teams seeking to empower business users with self-service analytics. It is also suited for companies deploying AI agents that need governed access to analytics context and data.
Features
- Git-native architecture where all context, metric definitions, notebooks, queries, and dashboards live in a customer-owned repository with full version control, review, and diff capabilities
- AI-powered query interface that answers natural-language questions using a shared context layer of metadata, semantics, and business rules
- Direct database connections with no complex data integration required, plus support for cross-source analysis
- Dynamic dashboards and SQL/Python notebooks with AI-assisted chart building that automatically identifies relevant data columns
- Role-based access control, per-user authentication, governed runtime, and audit history for security and compliance
- Distribution channels including Slack agent, MCP server, CLI, and API, all backed by the same context layer
- Automations for scheduled reports and alerts delivered via email or Slack