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    Home»Data Science»Cube Launches Agentic Analytics Platform Built on a Universal Semantic Layer
    Data Science

    Cube Launches Agentic Analytics Platform Built on a Universal Semantic Layer

    FinanceStarGateBy FinanceStarGateJune 3, 2025No Comments2 Mins Read
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    SAN FRANCISCO — June 2, 2025 — Dice, the main supplier of semantic layer expertise for contemporary information stacks, immediately introduced the launch of D3, the business’s first agentic analytics platform constructed on a common semantic layer. D3 empowers information groups to scale productiveness and allows enterprise customers to discover information independently—with governance, consistency, and belief inbuilt.

    As information calls for throughout organizations intensify, D3 introduces a brand new paradigm: AI information co-workers that automate and improve analytics duties throughout the enterprise. With pure language querying, ruled semantic context, and full explainability, D3 unlocks the following technology of knowledge productiveness and democratized insights.

    “We constructed D3 to do what conventional BI couldn’t: mix the productiveness of brokers with the precision of semantics,” stated Artyom Keydunov, CEO and co-founder of Cube. “D3 isn’t only a smarter BI device—it’s a redefinition of the analytics expertise. It permits companies to scale insights and information work with out compromising belief or management.”

    In contrast to pre-AI BI instruments bolting on new AI capabilities or BI instruments with no semantic layer to supply deep context concerning the information, D3 is agent-native and semantically grounded from the beginning. The platform features a suite of clever brokers to enhance Knowledge Analysts and Knowledge Engineers workflows.

    • AI Knowledge Analyst – Gives self-serve, pure language-driven analytics, producing trusted semantic SQL queries, visualizations, and interactive information apps in seconds.

    • AI Knowledge Engineer – Automates semantic mannequin growth from cloud information sources, constantly optimizing definitions and eradicating bottlenecks.

    Whether or not you’re a knowledge engineer automating semantic mannequin creation or a enterprise analyst querying with plain language, D3 serves each information stewards and information customers:

    • For information groups: Scale mannequin upkeep, automate YAML technology, and delegate with oversight.

    • For enterprise customers: Get fast solutions, refine studies conversationally, and work together with brokers straight in your instruments.

    D3 is out there immediately by Dice Cloud. To study extra about how D3 transforms analytics with agentic intelligence, go to: https://gocube.co/cube-d3.





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