Rillet brings its total funding to over US$100 million in under a year as it redefines modern finance operations.
AI-native enterprise resource planning (ERP) platform Rillet raised US$70 million in a Series B funding round, bringing its total funding to over $100 million in under 12 months.
Co-led by Andreessen Horowitz and ICONIQ, the investment follows a $25 million Series A just 10 weeks prior and will support Rillet’s mission to modernise enterprise accounting through AI-powered infrastructure.
Since its launch, Rillet secured over 200 customers and doubled its annual recurring revenue in the past 12 weeks. Its client base includes high-growth companies using the platform to significantly shorten close times and reduce operational overhead.
“My finance team was world-class, but simple requests took weeks because the systems were stuck in the past,” said Nicolas Kopp, CEO and co-founder of Rillet. “I knew there had to be a better way.”
Co-founded by Kopp and Stelios Modes, Rillet reimagines traditional ERP architecture by integrating structured data through native connections and applying AI directly to the general ledger. This enables real-time reporting, collaboration, and native workflow automation without the need for bolt-on tools.
“Finance teams deserve the same AI advantages that have revolutionised sales, engineering, and legal. Rillet is delivering that transformation by rebuilding ERP infrastructure specifically for the AI era,” said Seema Amble, Partner at Andreessen Horowitz.
“In our view, Rillet is not just modernising accounting software, it’s redefining what finance teams can achieve when freed from outdated systems, said Seth Pierrepont, General Partner at ICONIQ. “Their AI-native approach can give companies a clear edge: faster insights, leaner teams, and smarter decisions.”
As the accounting industry faces both a skills shortage and increasing automation potential, Rillet is positioning itself as foundational infrastructure for modern businesses. Its roadmap includes expanding AI features and deepening integrations across the financial tech stack to enable a new level of collaboration between humans and AI in finance.
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