Case Study: Crunched achieves 50% faster Excel modeling with Claude

Crunched transforms Excel modeling for investors and advisors with Claude

Crunched, an AI Excel analyst built for finance and consulting power users, faced the industry-wide challenge of Excel modeling being a slow, manual, and error-prone process for high-stakes deals. Their clients, including investment banking and private equity firms, needed greater speed and accuracy to complete more deals and trust their analytical outputs. To solve this, Crunched leveraged the Claude Platform, specifically using the Sonnet and Opus models.

By implementing Claude, Crunched gained the powerful AI foundation needed to handle complex financial models. The solution enabled features like sophisticated error-checking and autonomous model building, which integrated data from numerous sources. The results were substantial, with customers reporting over 50% time savings on Excel tasks. Specific workflows, like a real estate transaction analysis, were reduced from 10 hours to just 1 hour, delivering a 10x speed improvement and enabling more rigorous analysis on tighter deadlines.

Crunched

Michael Sakowski

Co-Founder