Case Study: Whispered achieves autonomous candidate sourcing with Scalestack

Whispered boosts candidate sourcing accuracy to 49% with Scalestack

Whispered, an AI-driven intelligence platform for executives built by CEO Andy Mowat, faced significant challenges with fragmented and unreliable data. Their previous tools for data enrichment were complex, fragile, and inaccurate, requiring constant manual maintenance and failing to provide the complete company and executive profiles they needed at scale.

By building on Scalestack's autonomous agentic platform, Whispered automated its data enrichment, scoring, and profiling workflows. Scalestack's solution delivered highly accurate results, achieving a 48-49% data match rate in an evaluation compared to 25-30% from other tools. This allowed Whispered to operate with the precision of a scaled data team without the manual effort, turning their data processes into a durable, compounding asset.

Whispered