Cube, the leading provider of semantic layer technology for modern data stacks, announced the launch of D3, the industry’s first agentic analytics platform built entirely on a universal semantic layer. Designed to transform how organizations interact with data, D3 empowers data teams to boost efficiency while enabling business users to explore data independently—with governance, consistency, and trust at its core.
As organizations face mounting data demands, Cube’s D3 platform introduces a new era in analytics: AI-powered data co-workers that automate and enhance workflows across the enterprise. By combining natural language interfaces with governed semantic context and explainability, D3 is positioned to reshape data productivity and make data-driven insights accessible to everyone.
“We built D3 to do what traditional BI couldn’t: combine the productivity of agents with the precision of semantics,” said Artyom Keydunov, CEO and co-founder of Cube. “D3 isn’t just a smarter BI tool—it’s a redefinition of the analytics experience. It allows businesses to scale insights and data work without compromising trust or control.”
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A Next-Generation Analytics Experience—Powered by Agents
Unlike legacy BI platforms that attempt to retrofit AI capabilities, or solutions that lack the semantic depth to provide meaningful data context, D3 was built from the ground up to be agent-native and semantically aware. The platform includes a purpose-built suite of intelligent agents designed to streamline and scale the work of Data Analysts and Data Engineers.
Key Agent Capabilities:
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AI Data Analyst – Empowers users to conduct self-serve analytics using natural language, delivering semantic SQL queries, visualizations, and interactive data applications within seconds.
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AI Data Engineer – Simplifies and accelerates semantic model development by automatically generating and optimizing models from cloud-based data sources, eliminating friction in the data pipeline.
Designed for Both Technical and Non-Technical Users
D3 bridges the gap between data stewards and business users, ensuring every stakeholder can access trusted insights without compromising control or data integrity.
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For Data Teams – Automate routine tasks such as YAML generation, streamline model maintenance, and enable secure delegation—all while maintaining oversight.
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For Business Users – Instantly get answers through natural language queries, refine visualizations conversationally, and interact with intelligent agents within their everyday tools.
With D3, Cube sets a new standard in analytics—one that marries the flexibility of AI agents with the rigor of semantic governance, helping businesses unlock smarter, faster, and more scalable decision-making.
