Count vs. Cube

AI makes things up. A made-up fact or an unsupported conclusion can damage a decision, a stakeholder or a reputation. Count is a collaborative platform for AI-powered analytics and research where every answer earns your trust. Count’s Reasoning Chains show the thinking, evidence and sources under every claim an AI makes. Each claim is labelled as a Citation, Assumption, Model knowledge, Judgement, Guesswork or Hallucination, so you can see which ones need checking before they reach a decision.

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.