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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
GTM channels
  • Blog
  • API
  • Docs
ICP
  • Data analytics teams
  • Product teams
  • Software developers