Case Study: AlphaSense boosts revenue capacity and vertical GTM precision with Kernel AI

AlphaSense improves revenue capacity per rep by 15% with Kernel Ai

AlphaSense, a market intelligence platform, faced a challenge in executing its vertical go-to-market strategy due to unreliable CRM data. Their existing tools provided record-level enrichment that led to misclassified accounts, missed sub-verticals, and disconnected subsidiaries, creating operational friction for their revenue operations team. This made it difficult to build targeted account lists and align sales territories with their high-potential segments.

Kernel implemented its agentic entity data foundation to resolve these issues. The solution corrected identity and hierarchy by deduplicating accounts and establishing accurate corporate structures. This allowed AlphaSense to segment its market with custom verticals and reliable firmographics. As a result, Kernel helped resolve over 5,000 duplicate accounts and enrich over 10,000 others, leading to a 50% improvement in headcount accuracy and a 15% increase in revenue capacity per sales rep.

AlphaSense