Problem

Financial modeling and analysis remain slow, manual, and error-prone even for highly skilled advisors and investors. Consulting, investment-banking, and private-equity professionals spend multiple hours each day in Excel, assembling models, extracting data, and checking formulas under tight deadlines; mistakes can have serious financial consequences. The core use case is turning repetitive analyst work—such as building or updating DCF and LBO models, linking data from information memoranda, and finding logical or formula errors—into faster, reviewable work. Crunched reports more than 50% time savings for customers, while its website claims 30-plus hours saved per associate per month and seven-plus critical errors caught before client delivery.

Product / Service

Crunched is a specialized AI analyst embedded in the tools advisory teams already use. Its Excel agent builds fully linked and editable financial models, populates firm templates, extracts structured information from PDFs and online sources with citations, and checks workbooks for logical, linking, and conceptual errors. Its PowerPoint agent creates slides from data, text, or analyst notes in a firm’s native templates, while a review system checks consistency across models, decks, charts, and branding.

The delivery model combines software agents with company-tailored workflows: firm-specific templates, formatting and prompt libraries, custom data-source integrations, proprietary verification, and forward-deployed engineering. The product is designed to augment rather than replace Excel, preserving normal review and iteration while moving analysts from manual construction toward expert review. The company is also launching a command center that can orchestrate more than ten agents across Excel, PowerPoint, and a data room.

Market

Crunched competes in enterprise AI productivity and financial-workflow automation, specifically AI agents for Excel and PowerPoint used by consulting, investment-banking, private-equity, and other finance professionals. It targets the highest-value segment of a very large installed base: Y Combinator describes a market of more than one billion Excel users and says Crunched focuses on the top 2%. Adjacent alternatives include Microsoft’s Copilot in Excel with Agent Mode, DataSnipper’s finance-oriented Excel Agents, and broader general-purpose AI copilots, but Crunched differentiates around financial-model conventions, auditability, verification, and firm-specific workflows.

The evidence indicates that Crunched is live with customers rather than merely a concept: its site says it has taken hundreds of advisory teams to the AI frontier, and Y Combinator says it is live with consulting, investment-banking, and private-equity firms in Europe and the United States, with users reporting more than twice the speed on specific tasks. The company announced a $6 million seed round in January 2026 led by First Round Capital, with participation from Y Combinator, 20VC, and others; a July 2026 third-party profile reports $7 million raised across two rounds. No revenue figure or explicit revenue-status disclosure appears in the available evidence, so it is best characterized as a funded, customer-deployed growth-stage startup rather than definitively labeled pre-revenue.