The round was led by Iconiq general partner Seth Pierrepont, with existing backers Sequoia and Andreessen Horowitz participating. It brings Rillet’s total funding to $200 million since the company emerged from stealth two years ago, and lands it among a growing class of AI-native startups pressuring entrenched players like Oracle, NetSuite, and Intuit.
Why the round came together so fast
The deal wasn’t a cold start. Weeks before the raise, Rillet held a board meeting where it shared growth metrics following its $70 million Series B last summer. Annualized revenue had doubled in the most recent quarter alone, the startup had added public-company clients, and it had struck an alliance with auditing giant EY to introduce AI tools into its workflow.
“Rillet had already proven it could win against the incumbents that have owned this category for decades,” Pierrepont said. “A year of watching the team deliver on that made doubling down and leading the Series C an easy call.” Pierrepont now joins Rillet’s board.
Sequoia, which led Rillet’s Series A, echoed that view. Julien Bek, the firm’s lead investor on the deal, said that while 48 hours looks rushed from the outside, re-investing was a “very easy decision” given the company’s trajectory. “Rillet’s initial wedge is accounting, but ultimately they are reinventing the entire finance function,” Bek said, calling agentic finance potentially “one of the largest application software opportunities of the AI era.”
AI accounting built for agents, not humans
Rillet’s platform is designed for AI agents to handle corporate bookkeeping, with humans working alongside them. CEO Nicolas Kopp said customers aren’t piloting the software — they’re ripping out existing ERP and accounting systems to replace them. Roughly 50% of Rillet customers migrate from Intuit, 30% from NetSuite and Sage Intacct, and 20% from Oracle, SAP, Workday, and Microsoft.
The startup’s client base spans laundromats to a major sports franchise. Security features include model routing, letting customers redirect requests to foundational models like OpenAI or Anthropic, with guardrails that prevent those models from training on client data. There’s no cross-training between customers, and agents retain memory of historical actions to improve their own processes.
About three months ago, Rillet released a governance feature that lets accountants audit every decision an AI agent makes — what numbers it pulled and how it calculated them. Kopp said building it was harder than it looks because the team had to compress agent data into a human-readable format. The feature only became possible recently as AI agents grew powerful enough to support multi-step workflows over longer periods, making auditing more critical.
The accountant shortage driving demand
Kopp points to a structural driver behind Rillet’s growth: the U.S. is running short of accountants. The number of graduates with accounting degrees has been declining since at least 2010. A recent Controllers Council report found that 61% of finance leaders struggled to find finance, accounting, and CPA talent in the past year. Long hours, a grueling path to senior roles, and pay that often doesn’t match the workload have thinned the pipeline.
Yet demand isn’t shrinking. The Bureau of Labor Statistics projects accounting-related roles to grow at least 5%, adding 72,800 jobs by 2034, and doesn’t expect AI to reduce demand for accountants even as the technology spreads. “The automation of routine tasks, such as data entry, will instead make accountants’ advisory and analytical duties more prominent,” the BLS said.
Kopp also rejects the mass-displacement narrative, citing a recent Stanford report that found no widespread job displacement from AI so far. Rillet, he insists, isn’t a human replacement — not even for junior accountants, who can use the platform to automate grunt work. “I just don’t see people losing their job anytime soon,” he said. “These people have started their professions to help businesses make better financial decisions. We can fully enable them to do that.”
What Happens Next
Rillet’s rapid ascent signals a broader shift in the accounting software market. Public software stocks dipped earlier this year as investors weighed how emerging AI tools would affect legacy vendors, and Kopp expects that pressure to intensify. “AI is going to come hard at these legacy players,” he said, because it gives customers compelling alternatives.
The regulatory layer will matter. Current rules require every AI-made transaction at public companies to be approved by a human. Kopp expects regulators and top accounting firms to watch how the industry evolves and eventually update rules to fit where the technology is headed — a process he compares to the early adoption of cloud computing. Watch for Rillet to push deeper into the broader finance function beyond accounting, and for incumbents like Oracle and NetSuite to respond with their own agentic features as the competitive pressure mounts.
— David Kim, technology desk, AXO News