AI accounting startup Rillet raised $100M at a $1B valuation in just 48 hours

A round that came together in two days

Rillet, a startup building an AI-native accounting platform, has raised $100 million at a $1 billion valuation — and according to TechCrunch, the entire round came together in roughly 48 hours after the company shared an update with its board. CEO and co-founder Nicolas Kopp told TechCrunch the company was not actively fundraising when investors moved to back it.

The trigger, per TechCrunch's reporting, was a board meeting a few weeks prior in which Rillet laid out its progress since a $70 million Series B last summer: annualized revenue had doubled in the most recent quarter alone, the customer base had grown to include public companies, and the startup had formed an alliance with EY to bring AI tooling into the auditing giant's workflow.

Iconiq led the round, with general partner Seth Pierrepont joining Rillet's board. He told TechCrunch the deal came together quickly but was built on a year of watching the company take on vendors that have dominated the accounting software category for decades. Sequoia, which led Rillet's Series A, also participated; its lead investor on the deal, Julien Bek, described the decision to reinvest as straightforward given the company's growth. In total, Rillet has now raised $200 million since emerging from stealth two years ago, with Andreessen Horowitz also among its backers.

Built for agents, with audit trails

Rillet now counts about 600 customers, and Kopp says they are not running pilots — they are ripping out existing accounting and ERP systems. He broke down where those customers come from: roughly half previously used Intuit products, around 30% came from NetSuite or Sage Intacct, and the remaining 20% from Oracle, SAP, Workday and Microsoft offerings.

The platform's distinguishing claim is that it was designed for AI agents rather than human operators, with people working alongside the agents on corporate bookkeeping. Because the system handles sensitive financial data, Rillet includes model routing so customers can direct requests to a foundation model of their choosing, such as those from OpenAI or Anthropic. Kopp says the company's infrastructure prevents those models from training on customer data, and that there is no cross-training between customers. The agents also retain memory of past actions to improve their own processes.

About three months ago, according to TechCrunch, Rillet shipped a governance feature that lets accountants inspect and audit every decision an agent makes, including which figures it pulled and how it calculated them. Kopp noted this was only recently feasible because agents have become capable enough to run multi-step workflows over extended periods — which, in turn, makes auditing them more important. Current rules for public companies still require a human to approve each transaction an AI agent executes, and Kopp expects regulation to evolve gradually as the profession adapts.

Displacement fears meet a real shortage

Kopp pushed back on the idea that AI accounting tools will eliminate jobs, positioning Rillet as automation for grunt work rather than a replacement for staff — including junior accountants. He pointed to labor market data: the number of U.S. students graduating with accounting degrees has been declining since at least 2010, and a recent Controllers Council Organization report found 61% of finance leaders struggled to hire finance, accounting or CPA talent in the past year.

The Bureau of Labor Statistics, meanwhile, projects accounting-related employment to grow at least 5%, adding 72,800 jobs by 2034, and does not expect AI to reduce demand for accountants. The agency has said automating routine tasks like data entry should instead make advisory and analytical work more central to the role.

Why it matters

The speed and size of Rillet's round is a data point in the broader shift toward vertical AI applications — industry-specific tools that aim to replace, not merely augment, entrenched software. Earlier this year, public software stocks dipped partly on investor concern about what AI would do to incumbent vendors, and Kopp believes legacy players will face real pressure as AI-native alternatives mature. Sequoia's Bek framed the opportunity more expansively, telling TechCrunch that accounting is only Rillet's initial wedge and that agentic finance could become one of the largest application software opportunities of the AI era. Whether that holds or not, a $1 billion valuation assigned in 48 hours signals how aggressively investors are pricing that thesis today.