Modern BI without the seat tax.
Governed analytics your whole team can use. Dashboards built in minutes by your coding agent or the visual editor, briefings when something changes, and answers in plain English. No per-viewer pricing, no bolted-on AI.
Your BI tool taxes every answer.
Legacy BI charges per viewer, funnels every question through one analyst, and treats AI as a chat window stapled to the side. The result: most of your company works without data, and the people who have it spend their week on the backlog.
- Per-seat pricing that punishes adoption
- A dashboard backlog owned by one analyst
- AI bolted onto a decade-old architecture
- Answers locked inside the BI console
- Everyone sees governed data, no seat tax
- Anyone builds, with an agent or the editor
- AI grounded in your model, verified live
- Answers over API, MCP, briefings, and email
Everything your team needs. Nothing to babysit.
One governed core behind every dashboard, every question, and every agent.
Build with your coding agent
Describe the dashboard in Codex or Claude. Semaphor grounds it in your semantic model, builds it, and verifies every number against a live query.
Explore without SQL
A governed visual explorer over your semantic model. Slice, filter, and drill down without writing a query or filing a ticket.
Briefings that come to you
Get a briefing when something changes: what moved, why, and where to look next. Delivered on your schedule, not discovered by accident.
Ask in plain English
Every teammate gets answers backed by governed queries. Every number traces to a query that actually ran.
Governed by design
One semantic model, row- and column-level security, and permissions applied on every query, automatically.
Version control built in
One-click GitHub integration. Commit and review changes to dashboards, models, and configs like the code they are.
Need it on your infrastructure? Semaphor runs self-hosted with Docker: your data, your network, full control. Learn about self-hosting
“Semaphor strikes a rare balance between flexibility and structure, giving us the power of a full BI platform without locking us into rigid data models or charting libraries. We’ve been very happy with how naturally it fits into our workflow and how well it scales as our data and product needs continue to evolve.”