Numos, an AI platform tailored for enterprise finance teams, has secured $4.25 million in seed funding, led by General Catalyst and supported by Operator Collective. The company is developing a platform that integrates seamlessly with existing finance systems to provide continuous analysis of transactions across various tools, including accounting software, billing platforms, data warehouses, and spreadsheets. This integration aims to facilitate faster and more strategic decision-making.
The funding arrives at a time when AI adoption in finance is on the rise, despite some CFOs expressing caution over issues related to data quality, integration complexity, and the lack of transparency in AI systems. Numos seeks to mitigate these concerns by connecting fragmented financial data, elucidating the factors driving financial changes, and ensuring a clear audit trail for insights generated.
In contrast to conventional black-box AI tools, Numos prioritizes transparency by outlining its sources and methodologies across workflows such as variance analysis, reconciliations, and quote-to-cash automation. The company claims that its clients are experiencing dramatically reduced timeframes for financial planning and analysis, with some reporting more than a 50% decrease in the time required to close their books.
Numos has begun attracting significant interest from enterprise clients, including both private and public entities like Dandy and Udemy. This traction underscores a growing demand for reliable AI solutions tailored for finance teams that can be integrated into existing infrastructures.
Founded by Parijat Sarkar and Mitul Tiwari, Numos draws on the founders’ extensive backgrounds in finance, enterprise software, and AI. Sarkar previously held the position of senior vice president at Zenefits, while Tiwari spent a decade developing large-scale AI systems at LinkedIn and ServiceNow. The company also benefits from advisory support from industry veterans such as Sue Taylor, former Chief Accounting Officer of Meta, and Kieran Snyder, VP of AI Transformation at Microsoft.
Proceeds from the recent funding round will be directed towards accelerating product development and expanding the engineering team as Numos continues to enhance its AI-driven finance platform.
“AI has enormous potential in finance, but adoption will only happen if teams can understand and verify the outputs. Finance teams aren’t just analyzing numbers, they’re accountable for them. Numos enables the work while keeping every step transparent and auditable,” said Parijat Sarkar, CEO and co-founder of Numos.
Mitul Tiwari, CTO and co-founder, elaborated, “The future of finance isn’t one AI tool; it’s a team of AI agents working alongside your finance team. 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.”
Kelly Templeton, Director of Finance at Udemy, remarked, “Numos bridges the gap between siloed financial data and actionable insights within our complex operating environment. 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.”
Yuri Sagalov, Managing Director at General Catalyst, added, “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. We love backing technical founders tackling complex, underserved problems, and Numos is purpose-built to deliver trusted, measurable results for finance teams.”
As Numos continues to evolve, its focus on transparency, integration, and reliable outputs positions it at the forefront of the finance sector’s AI adoption, potentially reshaping how finance teams operate in an increasingly data-driven environment.
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