Cube

Cube

Paid

Cube is an agentic analytics platform. It provides AI-native business intelligence and embedded analytics. Trustworthy answers for your team and customers are grounded in a semantic layer.

Cube screenshot

Cube is the agentic analytics platform built on a semantic layer. It offers AI-native business intelligence and embedded analytics. You get trustworthy answers for your team and your customers. Your data is grounded in a semantic model and governed end to end. This ensures consistency across all your analytics surfaces, including Analytics Chat, workbooks, and dashboards. Every answer ties back to the same trusted numbers.

You can ask questions about your data in natural language. Cube's AI understands your business context. It uses adaptive learning to provide relevant insights. This makes data exploration intuitive and efficient. You can build reports, analyze trends, and gain a deeper understanding of your business performance. The platform supports various analytics needs, from simple queries to complex data modeling.

Cube centralizes your data logic in one semantic model. This model acts as a single source of truth. It ensures that everyone in your organization works with the same definitions and metrics. This governance reduces data silos and inconsistencies. You can confidently make decisions based on reliable data. The platform is designed for modern data stacks, integrating seamlessly with your existing tools and infrastructure.

Empower your team with self-service analytics. Cube makes it easy for users of all technical levels to access and interpret data. You can create custom workbooks and dashboards. Share insights easily with colleagues. The platform scales with your business needs. It supports growing data volumes and user bases. Get started with Cube to transform how you use data for business intelligence and embedded analytics.

Use Cases

• Build AI-powered business intelligence dashboards. • Enable self-service analytics for business users. • Integrate analytics into your applications with embedded analytics. • Provide natural language querying for data exploration. • Establish a governed semantic layer for consistent metrics. • Automate data analysis and reporting.

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