Semaphor
Provides a governed semantic model for defining data, authoring dashboards, building with AI agents, and answering user questions.
An agent-native business intelligence platform that provides a governed semantic model for defining data, authoring dashboards, building with AI agents, and answering user questions. It serves internal BI for teams and embedded customer-facing analytics for products from one core, with multi-tenant security and verified query execution. The platform targets product teams and developers at mid-market and enterprise companies, offering a visual editor, MCP for coding agents, and a React SDK for building data apps. It is positioned as a unified alternative to separate internal and embedded BI stacks, with self-hosting options.
Key features
- Visual dashboard editor
- Semantic model governance
- Multi-tenant security
- Row-level security
- Embedded analytics via iframe
- MCP server for coding agents
- React data app SDK
- Plain English question answering
- Agentic signals
- White labeling
- LinkedIn<0.1/day
- Blog
- API
- Docs
- Data analytics teams
- Product teams
- Software developers