
The startup secured unicorn status in 48 hours, driven by demand for AI-driven alternatives to legacy ERP systems.
AI-generated summary
Rillet is an AI-native accounting platform that emerged from stealth two years ago. The company focuses on automating bookkeeping tasks for businesses, positioning itself as an alternative to legacy ERP providers.
Rillet co-founder and CEO Nicolas Kopp seems justifiably confident as we talk over Zoom a day after his company announced a $100 million raise at a $1 billion valuation. The U.S. has a shortage of accountants right now, which is driving growth of his AI-native accounting platform so much, he raised that cash in 48 hours without even trying.
Rillet emerged from stealth two years ago. Since then, it has raised $200 million from top investors like Iconiq, Andreessen Horowitz, and Sequoia. Itâs also amassed 600 customers, most of whom are looking to ditch legacy accounting systems like Oracle and NetSuite, Kopp says.
A few weeks ago, Rillet held a board meeting and shared with investors its growth since its $70 million Series B last summer. Annualized revenue rate had doubled in the last quarter alone; the startup added new clients, many of them public companies, and an alliance with EY to introduce AI tools to the auditing giant.
His customers arenât piloting Rillet either, he said â theyâre yanking out ERP and accounting software from competitors like Intuit, NetSuite, or Oracle.
After that board meeting, text messages were fired, calls were made, and 48 hours later, Rillet was a unicorn. The company wasnât even looking to raise, Kopp said.
Seth Pierrepont, the general partner at Iconiq who led the round, said that the deal came together fast but âit wasnât a cold start,â he described.
âRillet had already proven it could win against the incumbents that have owned this category for decades,â Pierrepont told TechCrunch. Iconiq also co-led the companyâs Series B, and with this latest round, Pierrepont joins the Rillet board. âA year of watching the team deliver on that made doubling down and leading the Series C an easy call.â
Julien Bek, Sequoiaâs lead investor on the deal, also said that, though 48 hours might look rushed from the outside, from their perspective, re-investing in Rillet was a âvery easy decision,â after the companyâs growth in the past year.
âRilletâs initial wedge is accounting, but ultimately they are reinventing the entire finance function,â Bek told TechCrunch, adding that agentic finance could become âone of the largest application software opportunities of the AI era.â Sequoia led Rilletâs Series A last summer.
âWhen the opportunity came together,â Bek continued. âWe already had all the context we needed.â
Rillet is one of many AI-native startups now giving legacy players a run for relevance. Earlier this year, software stocks on the public market dipped as investors worried about how emerging AI tools would affect them. Kopp thinks thereâs some truth to that.
âAI is going to come hard at these legacy players,â he said, because it is giving customers compelling alternatives.
Rillet, for example, was built for AI agents, not humans, letting humans work alongside the AI agents on corporate bookkeeping. Rillet clients range from laundromats to a major sports franchise. Some 50% of Rillet customers come from Intuit, 30% from NetSuite and Sage Intacct, and 20% from Oracle, SAP, Workday, and Microsoft products, he said.
Security is critical when working with sensitive client data, Kopp said. Rillet includes model routing, so customers can redirect requests to the foundational model of their choice (like OpenAI or Anthropic), and Rilletâs harness prevents these models from training on their data, he says.
Thereâs also no cross-training â meaning one customerâs data remains proprietary. The agents also have memory, so they can remember and store historical actions they can then use for their own process and improvement.
About three months ago, Rillet released a governance feature letting accountants see and audit every decision the AI agent has made â including what numbers the agents pull and how they calculated them. Creating this was harder than it looks, Kopp said, because the team had to compress agent data into a format humans could understand.
Kopp said this feature was only possible to build recently because AI agents have gotten so powerful so quickly. They can, for example, now support multi-step workflows over longer periods of time. Because of that, auditing what they are doing has become even more important for clients.
âWe barely scratched the surface of potential and opportunity that this technology has,â he said.
Right now, regulations for public companies require that every transaction made by an AI agent be approved by another human. He thinks regulators and top names are watching how the accounting industry evolves around this new technology. Heâs hopeful that new rules and regulations will evolve that align more with where everything is headed.
âItâs a very normal process,â he said. âSimilar to when the cloud came, of just getting everybody familiar with whatâs going on and how it helps the profession.â
Kopp also doesnât think mass job displacement from AI is coming anytime soon, especially in accounting. (Stanford released a report a few weeks ago that found no widespread job displacement yet.) He insists that Rillet isnât a human replacement, not even for junior accountants. They can use Rillet to help automate and assist with some of the professionâs grunt work.
He also pointed out the expected shortage of accountants in the U.S. The number of those graduating with an accounting degree has been declining since at least 2010. In a recent report, the Controllers Council Organization found that 61% of finance leaders have struggled to find finance, accounting, and CPA talent in the past year. The pullback is not entirely shocking: accountantsâ hours are long, the pipeline to the top is arduous, the pay often doesnât match the workload, and the work doesnât appeal to everyone.
At the same time, the Bureau of Labor Statistics has projected that accounting-related needs are expected to grow by at least 5%, adding 72,800 jobs by 2034. It also doesnât expect AI to reduce the demand for accountants, even as the technology becomes more widespread. âThe automation of routine tasks, such as data entry, will instead make accountantsâ advisory and analytical duties more prominent,â the BLS said.
âI just donât see people losing their job anytime soon,â Kopp said. âThese people have started their professions to help businesses make better financial decisions,â he added. âWe can fully enable them to do that.â
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