The $1.6 Billion Insurer That Won't Touch the Risk
Ominimo just hit unicorn status in two years by selling pricing, not promises. Here's the model behind it.
Most insurers make money by being wrong slowly. Ominimo decided to skip the being-wrong part.
On July 27, the Serbian-Hungarian insurtech closed a €20.1 million round, about $22.5 million, led by the venture arm of the European Bank for Reconstruction and Development. That check valued the company at €1.4 billion, roughly $1.6 billion. Two years after launch. It’s the first unicorn to come out of Serbia.
The number that should stop you isn’t the valuation. Ominimo says it’s been profitable in Hungary since day one, and it’s still profitable through this round. The company reports its annualized gross written premium run rate climbed from €26.3 million in 2024 to around €307 million now, with close to a million customers across Hungary, Poland, the Netherlands, and Sweden. For comparison, its 2025 Series A priced the company at €200 million, with Zurich Insurance joining as a distribution partner and minority shareholder. That’s a sevenfold repricing in about a year.
Here’s the part everyone glosses over. Ominimo doesn’t carry the insurance risk. It runs as a managing general agent, which means it prices and distributes the policies while someone else’s balance sheet absorbs the claims. It sells the underwriting brain, not the promise to pay. For now, it isn’t licensed to underwrite at all.
The mental model: Adverse Selection.
In insurance, if your pricing is even slightly worse than the competition’s, you don’t just lose a few customers. You attract exactly the wrong ones. The safe drivers a rival priced low walk to that rival. The risky drivers that same rival priced high walk to you. Price badly and the market hands you a book of losses on purpose. That’s adverse selection, and it’s the quiet killer behind most insurance blowups.
Ominimo’s whole edge is refusing to sit on the wrong side of that trade. Legacy motor insurers sort drivers into a few thousand broad buckets built on static demographics. Ominimo says it prices at a far finer grain using driver and vehicle data, which lets it spot the good risks incumbents have lumped in with the bad and overcharged. It cherry-picks the drivers everyone else is overpricing and skips the ones everyone else is underpricing.
Compare that to WeFox, once Europe’s best-funded insurtech at a reported $4.5 billion valuation, later divesting units and hunting for emergency money after scaling faster than its underwriting discipline could hold. Same sector. Opposite relationship with risk.
Spence’s take: The bull case here is the thing that reads like a weakness. Ominimo is “just” an MGA that doesn’t underwrite, so the skeptic says it’s a thin layer a real carrier could replicate or cut out. But the company now plans to get its own insurance license and start carrying risk. That’s the moment the story gets harder. Pricing data is capital-light and profitable. Holding claims is neither. The interesting question isn’t whether Ominimo can grow. It’s whether a business built on avoiding risk can survive deciding to own it.
Building inside regulated markets rewards exactly this kind of discipline. It’s the same reason infrastructure like /mkt exists: when the rules are fixed, the structure you choose is the strategy.
If this was useful, share it with someone who builds things. And if you want the full toolkit of 50 mental models, you can grab my book, Mental Models: How to Think, Act, and Win, on Amazon right now.
If you want the mental models behind breakdowns like this, my book, Mental Models: How to Think, Act, and Win, is on Amazon now.


This post is for informational and educational purposes only. It is not investment advice, a recommendation, or a solicitation to buy or sell any security. Funding figures, revenue, and valuation are as reported by the company, regulatory filings, and named outlets; the ~$470M valuation is a reported, time-sensitive snapshot and not independently verified. Dhoni's individual investment amount was not disclosed. The /mkt reference is a structural illustration of building in regulated markets and is not an offer or solicitation. Past performance and third-party investment decisions do not indicate future results.



