Transparent AI helps enterprises like Udemy move faster without sacrificing confidence in their numbers
Numos, an AI platform built for enterprise finance teams, announced a $4.25 million seed round led by General Catalyst with participation from Operator Collective. Numos’ AI platform sits on top of a company’s existing finance stack and continuously analyzes transactions across accounting systems, billing tools, data warehouses, and spreadsheets, allowing companies to make faster, more strategic decisions.
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Gartner recently predicted that embedded AI will drive a 30% faster financial close by 2028, yet most CFOs remain in early stages of adoption, held back by concerns around data quality, integration complexity, and black-box AI they can’t audit or trust. As a result, finance teams continue to rely on slow, manual work to piece together insights from fragmented systems and close their books.
Numos’ AI platform addresses exactly this gap by connecting business context that is typically fragmented across tools and teams, surfacing the underlying drivers behind financial changes, and driving strategic decision-making. Unlike black-box AI systems, Numos shows its sources, reasoning, and audit trail at every step – from variance analysis to reconciliations to quote-to-cash automations. The result: customers see 80% faster financial planning and analysis reporting cycles and close their books in less than half the time.
“AI has enormous potential in finance, but adoption will only happen if teams can understand and verify the outputs,” said Parijat Sarkar, CEO and co-founder of Numos. “Finance teams aren’t just analyzing numbers, they’re accountable for them. Numos enables the work while keeping every step transparent and auditable.”
“The future of finance isn’t one AI tool, it’s a team of AI agents working alongside your finance team,” said Mitul Tiwari, CTO and Co-Founder of Numos. “Numos orchestrates specialized agents that understand financial context, automate repetitive workflows, and continuously evaluate their outputs. By coordinating these agents across existing finance systems, we transform fragmented processes like reconciliations, variance analysis, and reporting into automated workflows that execute reliably at scale.”
Numos is gaining rapid traction with enterprise customers ranging from scaled private companies like Dandy to public companies like Udemy. This momentum reflects consistent demand from finance teams looking for AI they can actually trust.
“Numos bridges the gap between siloed financial data and actionable insights within our complex operating environment,” said Kelly Templeton, Director of Finance at Udemy. “Having AI that works within our established systems to surface key drivers has empowered our team to make faster, more confident decisions during our close cycles.”
“Parijat and Mitul bring firsthand experience building in and alongside the office of the CFO, giving them a deep understanding of how demanding and nuanced finance workflows truly are,” said Yuri Sagalov, Managing Director at General Catalyst. “We love backing technical founders tackling complex, underserved problems, and Numos is purpose-built to deliver trusted, measurable results for finance teams.”
Numos was founded by Parijat Sarkar and Mitul Tiwari, who bring deep expertise across finance, data, and enterprise AI. Parijat was a senior vice president at Zenefits who had leadership roles across product, growth, and engineering, while Mitul, a PhD from the University of Texas at Austin, spent the last decade building large-scale AI systems at LinkedIn and ServiceNow.
The company’s advisors include Sue Taylor, former Chief Accounting Officer of Meta, and Kieran Snyder, VP of AI Transformation at Microsoft. The seed funding is being used to accelerate product development and grow the engineering team.
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