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AI-native analytics for technology companies, built on a semantic layer

High-tech teams move fast, but only when they trust the numbers. Cube is the agentic analytics platform for technology companies: product, engineering, and GTM teams ask questions in natural language and get answers grounded in one governed semantic model. Use it for internal BI, and ship the same governed analytics embedded inside the products you sell — without rebuilding your stack for each.

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Make Smarter Technology Decisions with Unified Data
  • Ask questions in plain language and get governed, trustworthy answers
  • One semantic model, served to BI, spreadsheets, agents, and embedded analytics
  • Runs on top of your cloud warehouse — no rip-and-replace

Agentic AI for Technology:

Smarter Data, Faster Technology Decisions

AI agents answer questions on top of your governed model, so product metrics, A/B results, and GTM numbers mean the same thing across teams. Analysts explore without writing SQL from scratch, business users self-serve without waiting on the data team, and every agent's reasoning is transparent enough to trust.

Learn more about Cube D3
Collaborative network with data, users, and communication around a central platform

Build a Future-Ready Data Architecture

Cube sits on top of your cloud warehouse and serves every consumer — BI, spreadsheets, AI agents, and embedded analytics — from one semantic model. Adopt new tools or add AI-powered features to your product without re-modeling your metrics each time.

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Support Rapid Growth As You Scale

Handle rising query volumes and larger datasets without losing speed. High-performance caching keeps analytics responsive under peak load, whether the consumer is an internal dashboard or thousands of customers hitting analytics embedded in your product.

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Enhance Data Security, Governance, and Compliance

Define metrics and access rules once, in the semantic layer, and enforce them consistently across every team and every customer. Row-level security and auditable definitions keep data trustworthy as you scale — internally and for the users you embed analytics for.

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Accelerate Time-to-Market

When product, engineering, and business teams read from the same governed definitions, they stop arguing about whose number is right and ship faster. New metrics and features build on the model you already have instead of a fresh re-implementation.

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Ready to upgrade your data stack?

Webflow
We integrated Cube Cloud smoothly with ClickHouse, leveraging both for fast query‬ execution while maintaining the abstraction needed for different teams to access data‬ without diving into database-specific complexities.‬
Rocio DelgadoSenior Engineering Manager at WebflowRead the Case Study

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