Omni Analytics

Omni Analytics is an AI analytics platform that combines business intelligence features with a centralized semantic layer. It enables data, business, and product teams to query governed datasets using natural language chat, SQL, spreadsheets, or point-and-click interfaces.

The platform allows users to explore data with follow-up questions while retaining context, build custom dashboards, and run modeling on live data. Data teams can define core logic and business metrics in the semantic model, while built-in AI agents assist with query generation and metric building.

Omni also supports white-labeled embedding via APIs and single sign-on, along with version control features like Git and branch mode to safely test data changes. Its integrations extend to data warehouses like Snowflake and BigQuery as well as external AI platforms through Model Context Protocol (MCP) servers.

Key features

• Natural language chat: Allows users to query data, apply filters, and calculate metrics through conversational prompts.
• Unified interface: Provides SQL editing with autocomplete, spreadsheets with formulas, and drag-and-drop chart builders over live governed data.
• Centralized semantic layer: Captures organizational metrics and logic to deliver consistent query results across all users and connected AI tools.
• AI Modeling Agent: Helps data teams build metrics, incorporate documentation, and configure query behaviors automatically.
• Governance and version control: Uses Git integration, branching mode, and permissions to safely manage and test model updates.
• Embedded analytics: Supports white-label embedding in external applications using APIs and single sign-on authentication.
• MCP server integration: Exposes governed semantic data to external AI platforms and coding assistants like Cursor, ChatGPT, and Claude.