A Product Market Fit Show | Startup Podcast for Founders · Mistral.vc

He raised $41M in one year to replace enterprise accountants with AI. | Yogi Goel, Founder of Maxima

·44 min·2 clips

Some customers went from small trials to 50 billion dollars of transactions in Maxima by month seven or eight.

1. A Product Market Fit Show episode centers on Yogi Goel and Maxima, a startup targeting enterprise accounting workflows. 2. Yogi Goel is the founder of Maxima, and the host frames him as someone who raised an $11 million seed and a $30 million Series A. 3. The episode asks what happens when AI can take over the daily accounting work that companies still run by hand. 4. Yogi says he spent 20 years as an auditor and finance operator before deciding to solve the problem himself. 5. He explains that accounting data moves through credit cards, banks, payroll, procurement systems, revenue systems, and stock-based compensation. 6. He says public companies must file financials within 45 days of quarter close, which makes speed and accuracy non-negotiable. 7. He points to restatement risk, citing Symbotic's $10 million revenue restatement and Macy's $135 million restatement. 8. He says companies often spend three weeks of every month closing the books, while investors and auditors expect five to six day closes. 9. He describes legacy ERP systems as final-number databases that still leave the manual work of downloading, transforming, and validating transactions to people. 10. He names Scale AI, Rippling, Glean, and SpotOn as companies dealing with this workflow. 11. He says the ChatGPT moment showed him a tool that could understand structured and unstructured data and follow instructions. 12. He says he had a commitment to Rubrik's IPO by April 2024, completed it, and left after a quarter. 13. He says he went through 12 co-founders over 18 to 24 months before finding the right team. 14. He says he wanted builders who could create accurate systems, not just move fast and break things. 15. He says Maxima is architected by accountants and built by AI engineers, which he contrasts with legacy tools built only by accountants. 16. He says customers connected Maxima to their transaction systems and used it for low- to mid-judgment work with deterministic, 100% accurate processing. 17. The interview style is direct and detail-heavy, with the host pressing on fundraising, product, and customer proof points. 18. Yogi's tone is confident and practical, especially when he discusses accuracy, compliance, and design-partner feedback. 19. Founders building enterprise AI for finance teams. 20. Casual listeners looking for a light startup story.

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