Case Study: Redis restores Salesforce trust and data accuracy with Scalestack

Redis restores Salesforce trust with Scalestack, validating 260,000+ accounts

The customer, Redis, a real-time data platform, faced a significant challenge with its decade-old Salesforce instance. Inaccurate and incomplete data had eroded trust in its CRM, slowing sales execution and stalling strategic initiatives. Redis partnered with Scalestack to implement its AI-native architecture and agentic workflows to restore data confidence and build a scalable foundation for its go-to-market operations.

Scalestack deployed autonomous AI agents to continuously validate, reconcile, and classify Redis's account data. The solution removed over 45,000 invalid records, validated more than 260,000 accounts, and classified 100% of entries with revenue-trust labels. This resulted in a clean data foundation that powered faster sales execution, accurate forecasting, and improved operational resilience for Redis.

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