Cube vs. AISquared

Cube is the agentic analytics platform — built on a semantic layer. Cube is the AI-native generation of business intelligence. It's one platform for two use cases: internal BI, where data teams and business users analyze their own company's data, and embedded analytics, where software companies ship analytics inside their own products. The same governed semantic layer powers both. What makes AI answers trustworthy in production is the semantic layer underneath them. Cube was built around the semantic layer from day one rather than retrofitting one onto a dashboard- or notebook-first tool.

AISquared helps enterprises bring AI into production with greater control, visibility, and accountability. As organizations adopt more AI models, agents, and applications, managing them across different teams and systems becomes harder. AISquared’s UNIFI Enterprise AI Control Plane provides a central layer to manage how AI is used across the business. UNIFI helps organizations: 1. Connect AI to enterprise data, models, and applications. 2. Control how AI accesses data, selects models, and takes actions. 3. Govern AI activity with security, permissions, policies, and approval rules. 4.