Cube Introduces D3, an Agentic Analytics Platform

Jun 3, 2025
Cube has launched D3, the first agentic analytics platform built on a universal semantic layer, enhancing data productivity and user autonomy.

Cube has launched D3, the industry's first agentic analytics platform built on a universal semantic layer, announced in a press release. D3 is designed to enhance productivity for data teams and empower business users to explore data independently, with built-in governance, consistency, and trust.

D3 introduces AI data co-workers that automate and enhance analytics tasks across enterprises. It features natural language querying, governed semantic context, and full explainability, aiming to unlock the next generation of data productivity and democratized insights. The platform includes intelligent agents to augment workflows for data analysts and engineers, providing self-serve analytics and automating semantic model development.

Available through Cube Cloud, D3 allows data teams to scale model maintenance and automate tasks, while business users can interact with agents directly in their tools for immediate insights and report refinement.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Enterprise AI Brief, AI Programming Weekly or Daily AI Brief.

Also, consider following us on social media:

Enterprise AI AI Brief AI Brief (X)
Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.