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You don't have a pricing problem. You have a visibility problem. You can't see which policies inside a rating cell are losing money. If you could, your loss ratio would be anywhere from 5-15 pts better than it is right now. Your filed rate is built on your rate factors -- a group of drivers who similar rate factors. But loss ratio doesn't happen at the group level. It happens one policy at a time. Inside every cell, some policies are well-priced and some are mispriced, and the average hides which is which until the losses show up a year later. For a century, that was just the cost of doing business, because the rating cell was the smallest unit anyone could see. It isn't anymore. Now, with Soteris, you can score a single policy on its own economics -- a segment of one -- before you bind it. The book didn't change. Now you just have a more precise view.

Today, Soteris is out of stealth. For years, P&C insurers have lived with an unfortunate blind spot: they can't tell you which individual policies in their book are going to lose them money. Results get predicted at the segment level, so a single policy's true economics disappears into the average -- and by the time the claims come in, it's far too late to act. We built Soteris to close that gap. Our machine learning turns a book of policies into millions -- even billions -- of analyses at once, then resolves each policy down to a "segment of one." For the first time, a carrier or MGA can look at a single policy and know what it's actually worth, at quote, bind, or renewal, in under 250 milliseconds. Our first product has been improving loss ratios since 2020 -- 100M+ submissions and $180B+ in premiums scored to date, consistently delivering 5 to 15 point loss-ratio improvements. Today we're launching our next product: AI profit prediction, built to surface the negative-profit policies hidden inside segment averages and grow an insurer's bottom line, with no change to rates, forms, filings, or headcount. Early proofs of concept showed book EBITDA climbing anywhere from 70% to 125%. Grateful to the customers who trusted us early, and to our investors Spider Capital, Intact Private Capital, Amplify Partners, DCVC, Webb Investment Network, Overlook Ventures, Clocktower Ventures, and Foundation Capital for their continued support. This is just the start. If you’re a P&C insurer and want to know what each policy you write will really be worth, let's talk: [email protected] Read more: https://lnkd.in/gZTM7P9U #PCInsurance #insurtech

You already know some policies in your auto book are underpriced. The question is which ones -- and right now you find out at renewal, months too late. Soteris scores every personal auto policy before you bind it, flagging the underpriced ones your filed rate can't see. The result? All the policies you write are adequately rated, to the tune of a 5 to 15 point improvement in your loss ratio.. Nothing to refile. Your actuaries and your rating plan stay exactly where they are. Worth a look? A 15-minute call walks you through how it works and what an analysis on your own book would surface.

In actuality, one's profitable and one's bleeding profit. You can’t see it, because as far as your rating plan goes, their identical. If you could, your loss ratio would improve anywhere from 5 to 15 points. That's not a flaw in your underwriting. It's the ceiling of class-based pricing. Commercial auto rates the class and reads the average, so the underpriced accounts hide inside it until the losses develop. By the time the loss ratio moves, you've already bound a year of them. The reason nobody fixed this is simple: the class was the smallest unit anyone could price to. Machine learning changes the unit. Soteris scores each policy as a segment of one, its own true economics, at the moment you can still act.

If you could find it, you could increase your bottom line an extra 70-125%. A share of policies lose money every renewal, netted against the winners so they never surface. Soteris scores each policy's contribution before bind, so you can act on the negative-profit ones -- reprice within your filed levers or take action at renewal -- and pull more margin from the book you already have. No refile, no product change, same team. A 15-minute call walks through how it works and how an analysis of your book can surface millions in recoverable EBITDA.

Did you know most profitable books have an additional 70-125% increase to their bottom line still hidden within them? When your personal auto loss ratio is healthy, the negative-profit policies inside it are invisible. They're netted against the winners. The average looks fine, so the leak never surfaces -- and every renewal, it quietly rides along again. The issue was never your underwriting. It's that segment-based pricing reads the average, and the average is exactly where a money-losing policy hides best. You can't act on what you can't see at the policy level. That's the constraint Soteris removes: it scores each policy's contribution on its own, so the leak inside a healthy book finally has a face.