Agentic Analytics powered by Semantic Layer.

Joined October 2018
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Introducing Cube. The first platform where AI builds your data model for you. Get accurate answers, dashboards and reports automatically. No hallucinations. All grounded in the semantic layer. Cube is free to start at cube.dev
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New in Cube: share Analytics Chat context from Cube, Slack, or MCP and continue the workflow in the Cube interface. The shared view stays read-only, so teams can collaborate without changing the original chat.
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Today we're launching Embedded Agentic Analytics — AI analytics built on the Cube semantic layer. cube.dev/blog/announcing-emb…
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Set guardrails for AI analytics with rules in the data model. This Cube Agent Rules clip shows how calculation methods and domain terminology guide the agent's answers in Analytics Chat. Clip: How to Set Guardrails for Your AI Data Agent
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AI-assisted forecasting directly from semantic data. In this (Preview) Advanced Analysis Python clip, Cube generates SQL, writes Python for an ARIMA forecast, runs it in a sandbox, and plots the result.
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New in Cube: Agent Skills. Turn repeated analytics workflows into reusable Markdown-defined procedures that the agent can run across Analytics Chat, Workbooks, and Dashboards. Full changelog: cube.dev/changelog/2026-06-0…
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Semantic SQL helps AI query governed business data without bypassing the semantic layer. Why AI needs Semantic SQL for Data Safety
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Cube’s MCP server now supports multiple agents. For teams running multiple deployments, MCP clients like Claude can access the right Cube agent for the workspace and workflow shown in this demo.
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New in Cube: Dashboard Agent for published dashboards. Viewers can ask questions about charts, filters, and time grains already on screen, plus use new Region Maps for choropleth-style map charts. Full changelog: cube.dev/changelog/2026-05-2…
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Introducing Creator Mode: embed the entire Cube application inside your product. Build dashboards, publish, share — all scoped per tenant with full customization support. docs.cube.dev/embedding/ifra…
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BI is entering its fourth generation: AI-native. @keydunov opened the Agentic Analytics Summit with a look at what comes next — and two major Cube launches. Watch the keynote 👇
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Tomorrow 🟣 Agentic Analytics Summit, April 29. Thousands of data practitioners have already registered. Free. Online. Last call. cube.registration.goldcast.i…
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One week. 🟣 Agentic Analytics Summit. April 29. Free. Online. Practitioners from Patagonia, Jobber, and Brex sharing what agentic analytics looks like in production. Register ↓ agenticanalyticssummit.com/
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April 29. Don't miss it. cube.registration.goldcast.i…
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Just dropped: a full demo of Cube's agentic analytics platform. AI agents that model, analyze, and report on your data: no SQL, no hallucinations, humans in control. youtube.com/watch?v=gvDy37p7…

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Big news: Cube is recognized in the 2026 Gartner Market Guide for Agentic Analytics. And Gartner's take on the market aligns with everything we've built toward: "Semantic and policy alignment is foundational for effective agentic analytics."
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According to Gartner, "“by 2028, 60% of agentic analytics projects relying solely on MCP will fail due to the lack of a consistent semantic layer.” We built Cube for exactly this moment → cube.dev/blog/cube-recognize…
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21 Jul 2025
As AI teammates join our workflows, how do we ensure they're trustworthy and reliable? Our new blog post dives into the agent lifecycle and the future of AI governance. #AI #Data #Analytics #AgenticAI Read more: gocube.co/4f1oLqz
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