Rillet Just Became a Unicorn. What Does That Tell Us About the Future of ERP?

This week, Rillet raised a hundred million dollars in a Series C led by ICONIQ at a billion dollar valuation. That makes it a unicorn roughly two years after the company launched publicly, and it is Rillet’s third funding round in just over a year, bringing its total funding past two hundred million.

I want to say something upfront, because I do not want anyone reading this to mistake it for a press release. Rillet is one of the platforms we implement at Zanovoy. I have a relationship with the company. I believed in what they were building before this round happened, not because of it. I am telling you this so you can weigh what follows accordingly, and because I think an advisor who hides the relationships he has is not an advisor worth listening to.

What I am not going to do is write six hundred words telling you Rillet is the future and everyone should replace their ERP tomorrow. That would be bad advice, and for most companies reading this, it would also be untrue.

What I do think is worth talking about is what a billion dollar valuation, achieved in two years, on an accounting platform, actually signals about where enterprise resource planning is heading. Because the signal is bigger than one company, and it is worth understanding even if you never buy Rillet’s product.

A Two-year Unicorn In Accounting Software Is Not Normal

Enterprise resource planning has been one of the slowest-moving categories in software for three decades. NetSuite launched in 1998 and took years to reach meaningful scale. SAP and Oracle built their ERP dominance over decades, not years. The category rewards incumbency because switching systems is expensive, disruptive, and risky, and finance leaders have historically preferred the safety of an established platform over the promise of a new one.

Rillet went from public launch to a billion dollar valuation in about twenty four months. That does not happen in accounting software because the category is exciting. It happens because a large number of sophisticated investors, across three separate funding rounds, looked at the actual usage data and concluded that something structurally different is happening, not just another SaaS company with a good pitch deck.

The investors backing this round are not speculative money. Sequoia, Andreessen Horowitz, ICONIQ, Bain Capital Ventures, Battery Ventures. These are firms that have underwritten enterprise software for twenty years and know exactly how hard it is to displace an incumbent ERP. When that group moves this fast on an accounting platform, they are not betting on a better user interface. They are betting on an architectural shift that changes what the software is fundamentally capable of doing.

The Number That Actually Matters Is Not The Valuation

The valuation is the headline. It is not an interesting number.

The interesting number is buried in the coverage: one of Rillet’s customers, Mercor, reportedly runs a business generating two billion dollars in annual recurring revenue with a three person finance team. I want to sit with that for a second, because it is easy to read past it.

A finance function running a two billion dollar revenue base with three people is not a story about a slightly more efficient bookkeeping tool. Under any traditional operating model, a business at that scale runs a finance team in the dozens, sometimes hundreds. Reconciliations, close processes, revenue recognition, reporting, audit prep. The headcount required to run that function has been treated as a fact of business gravity for as long as I have been doing this work.

What that customer example tells me is that AI agents inside the finance function have crossed a threshold. Not from helpful to more helpful. From assisting the finance team to doing the finance team’s work. That is a different category of capability, and it is the actual thing the billion dollar valuation is pricing in.

What This Does Not Mean

Here is where I have to be honest, because the easy version of this article writes itself and the easy version is not true.

It does not mean every company should replace its ERP with an AI-native platform this quarter. Rillet, and platforms like it, fit a specific profile well. Growing companies with relatively clean transaction volume, a sophisticated founding team willing to operate differently than a traditional finance function, and genuine appetite for the AI-agent model doing real transactional work rather than just summarizing it. That is not every company. It is not most companies, yet.

It does not mean legacy ERPs are obsolete. NetSuite, at the scale and complexity many of my enterprise clients operate at, still does things that AI-native platforms are not yet built to handle at the same depth. Inventory, manufacturing, and supply chain operations that live outside a general ledger entirely, multi-jurisdiction tax compliance built on decades of localization work, decades of customization that would take years to rebuild. A billion dollar valuation on a two-year-old company does not erase that operational reality. 

And it does not mean the growth story is finished or without risk. Companies raise capital on growth trajectories, not guarantees. A funding round is a signal about investor conviction, not a verdict on product-market fit at every scale and every industry.

What it does mean is that the direction of travel is now backed by real capital, real customer usage, and real operational proof points, not just marketing claims. That is worth taking seriously even if the specific platform is not right for your specific business today.

What Actually Changes For Finance Leaders Evaluating Platforms Right Now

I think the honest answer is that the baseline for what counts as a credible platform conversation just moved.

For the last two years, when a finance leader asked a legacy ERP vendor about their AI roadmap, the answer was usually some version of “it is coming” or “we have some features in beta.” That answer was acceptable because nobody had proven the alternative worked at scale. It is getting harder to accept that answer now that a company backed by some of the most sophisticated enterprise software investors in the world is showing customers running billion dollar revenue bases with skeleton finance teams.

I am not telling finance leaders to panic-buy an AI-native platform. I am telling them the question they should be asking legacy vendors just got sharper. Not “do you have AI features.” Ask what the AI is actually allowed to do without a human in the loop. Ask whether it drafts reports or whether it closes the books. Ask how many of your current manual reconciliations their AI would actually eliminate, not assist with. The gap between those answers is where the real signal lives, and that gap just got a lot more visible.

The next time a legacy vendor tells you their AI capability is on the roadmap, ask them how many people it would take to run their own finance function on their own platform today. That is not a rhetorical question. It is the question a billion dollar valuation just made fair to ask.