Case Study: Drata achieves faster, smarter QBRs with Cube Dev's AI-focused semantic layer

Scaling Data-Driven Decision Making with Cube's Semantic Layer and AI Agents

Drata, an AI-native trust management platform serving thousands of businesses, needed a way to scale analytics and customer reporting without adding headcount. Their customer success teams were spending 2 to 3 hours on each quarterly business review, pulling data from multiple dashboards, reconciling inconsistent metrics, and manually building presentations for every major account.

Cube Dev implemented a single semantic layer to power both structured API queries and AI-driven natural language analytics, giving Drata one governed source of truth for metric definitions. With Cube Dev, Drata saved CSMs dozens of hours each quarter, improved consistency and trust in reporting, and shifted QBRs from static slide decks to intelligent storytelling with benchmark comparisons, risk detection, and tailored insights.

Drata

Anthony Cronander

Senior Analytics Engineer