How Rillet, an AI Accounting Startup, Achieved Unicorn Status and Secured $100M in Just 48 Hours

Nicholas Koop, co-founder and CEO of Rillet, exudes a confidence grounded in reality during our Zoom conversation, just a day after his company announced a $100 million funding round, attaining a valuation of $1 billion. The ongoing shortage of accountants in the U.S. is significantly accelerating the expansion of his AI-powered accounting platform, enabling him to secure the funding in a mere 48 hours without any active solicitation.

Since emerging from stealth mode two years ago, Rillet has raised $200 million from prominent investors like ICONIQ, Andreessen Horowitz, and Sequoia. The company has acquired 600 customers, many of whom are eager to transition from traditional accounting solutions such as Oracle and NetSuite, according to Koop.

In a recent board meeting, Rillet provided investors with an update on its progress since the $70 million Series B funding raised last summer. The annual revenue rate has doubled in just the past quarter, and the startup has onboarded new clients, including several public companies, and formed a partnership with EY to implement AI tools for the auditing giant.

Koop emphasized that Rillet’s clients are not just experimenting with the platform; they are actively replacing ERP and accounting software from competitors like Intuit, NetSuite, and Oracle.

After that board meeting, communication continued, and in just 48 hours, Rillet attained unicorn status, despite not actively seeking further funding, Koop shared.

Seth Pierrepont, general partner at Iconiq and leader of the investment round, mentioned that the deal came together quickly, although it was not a “cold start.”

“Rillet had already shown its capacity to outperform established players that have dominated this sector for years,” Pierrepont told TechCrunch. Iconiq had also participated in the Series B, and with this latest round, Pierrepont is joining the Rillet board. “After witnessing the team’s performance over the past year, leading the Series C was a clear decision.”

Julien Bek, Sequoia’s lead investor for this deal, echoed that despite the seemingly urgent 48-hour timeframe from an outside perspective, reinvesting in Rillet was a “very straightforward decision” given the company’s remarkable growth over the past year.

“Rillet’s primary focus is on accounting, but they are effectively reinventing the entire finance function,” Bek informed TechCrunch, noting that agentic finance could emerge as “one of the largest application software opportunities of the AI era.” Sequoia had previously led Rillet’s Series A last summer.

“When the opportunity arose,” Bek added, “we had all the context we needed.”

Rillet is part of a growing trend of AI-native startups that are challenging legacy firms for relevance. Earlier this year, public software stocks faced declines as investors grew concerned about the implications of emerging AI tools. Koop acknowledges this sentiment.

“AI is going to profoundly challenge these legacy companies,” he asserted, as it offers customers appealing alternatives.

For instance, Rillet was engineered for AI agents rather than humans, enabling human users to collaborate with AI for corporate bookkeeping. Rillet’s clientele ranges from laundromats to the NFL Hall of Fame. Koop explained that roughly 50% of Rillet customers have transitioned from Intuit, 30% from NetSuite and Sage Intacct, and 20% from Oracle, SAP, Workday, and Microsoft solutions.

Koop stressed that security is critical when handling sensitive client data. Rillet incorporates model routing, allowing customers to direct requests to the foundational model of their choice (such as OpenAI or Anthropic), while ensuring that Rillet’s framework prevents these models from training on their data.

Additionally, there is no cross-training, ensuring that each customer’s data remains secure and private. The agents also possess memory features, enabling them to recall and retain past actions for future process optimization.

Around three months ago, Rillet launched a governance feature allowing accountants to view and audit every decision made by the AI agent, including the data retrieved and computation methods. According to Koop, developing this functionality proved trickier than expected, as the team needed to convert agent data into a format understandable to humans.

Koop indicated that the recent rapid advancements in AI agents’ capabilities have made this feature feasible, allowing them to perform multi-step workflows over extended periods, increasing the need for auditing their actions for clients.

“We have only started to tap into the potential and possibilities that this technology presents,” he stated.

Currently, regulations for public companies require that every transaction executed by an AI agent must be approved by a human. Koop believes regulators and key industry players are closely monitoring the accounting sector’s adaptation to this new technology. He is hopeful that upcoming rules and regulations will better align with the changing landscape.

“This is a typical evolution,” he explained. “Similar to the move to cloud computing, it involves getting everyone acclimated to the changes and understanding how they benefit the profession.”

Koop also expresses skepticism regarding the immediate threat of widespread job losses due to AI in accounting. (A recent Stanford report indicated no substantial job reductions thus far.) He emphasizes that Rillet’s aim is not to replace humans, including junior accountants, but rather to automate and ease burdensome tasks within the profession.

He pointed out the anticipated shortage of accountants in the U.S., as the number of individuals obtaining accounting degrees has been declining since at least 2010. A recent report from the Controllers Council Organization highlighted that 61% of finance leaders struggled to find talent in finance, accounting, and CPA roles over the past year. This trend is unsurprising: the profession often entails long hours, a challenging advancement path, inadequate compensation for the workload, and the nature of the work does not appeal to everyone.

At the same time, the Bureau of Labor Statistics projects a 5% rise in accounting-related job demand, which will result in an additional 72,800 positions by 2034. They do not foresee AI diminishing the requirement for accountants, even as technology continues to advance. “The automation of routine tasks, such as data entry, will enhance accountants’ advisory and analytical responsibilities,” the BLS noted.

“I simply do not foresee job losses in the near future,” Koop remarked. “These professionals have embarked on their careers to assist businesses in making better financial choices,” he added. “We can empower them to do just that.”