Soteris, Inc.

Founded 2018

Predict profitability for insurance policies before underwriting to improve loss ratios

You can use Soteris to predict the profitability of property and casualty insurance policies before writing or renewing them. The system scores underwriting submissions via a sub-250ms API without requiring changes to existing rates, forms, or regulatory filings. By evaluating incoming policy submissions against financial outcomes, it identifies hidden loss-making policies and underpriced accounts dragging down performance. Underwriters can pinpoint which policies to accept, adjust, or decline to protect margins, improve overall loss ratios, and increase bottom-line earnings across their existing book of business.

What Soteris, Inc. does

Score insurance submissions against predicted profitabilityIntegrate real-time risk predictions into underwriting management systemsIsolate underpriced accounts within existing renewal booksCalculate expected financial returns before issuing policy quotesFilter out high-loss submissions from incoming broker queuesReview loss ratio trends across policy segmentsSub-250 millisecond policy scoring via APIZero modifications required for rates, forms, or regulatory filingsNegative-profit policy detection within active books of businessLoss ratio monitoring to flag underpriced policy submissionsPurpose-built machine learning models operating without generative chatbotsSOC 2 Type 2 certified data security with zero PII retentionTargeted deployment completed in under ninety days