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Enterprise Layer Intelligence
Categories/AI Analytics/Soteris
Soteris

Soteris

Founded by Sunit Shah

Predict property and casualty insurance policy profitability before writing or renewing them

Pricing model

Paid

Rating

★ People love it

Time to value

Long Setup (> 1 day)

You can use Soteris to evaluate insurance submissions and policy renewals in real time. It analyzes property and casualty insurance data to predict profitability before you write or commit to a policy. Insurers can identify underpriced policies, spot loss ratio drivers, and filter out unprofitable business from their portfolio without changing rates, forms, or existing regulatory filings. The API delivers scoring results in under 250 milliseconds, allowing underwriting teams to make data-backed decisions on which submissions to accept, revise, or walk away from.

What Soteris does

Score insurance submissions through a low-latency APIFilter out unprofitable policies before issuing coverageAudit existing policy renewals for negative profitabilityEvaluate portfolio loss ratios across specific policy segmentsReview policy margin estimates directly in underwriting workflowsDetect underpriced risks across property and casualty accountsCalculates profitability scores for policy submissions in under 250 millisecondsIdentifies loss-making policies hidden inside existing insurance portfoliosIntegrates into existing underwriting workflows via API without regulatory refilingsOperates without storing or processing personally identifiable informationComplies with SOC 2 Type 2 security standardsDelivers automated risk calculations tailored specifically for property and casualty insurers

Pricing breakdown

Pricing model: Paid

Tutorials & Demos

Frequently asked

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Soteris, insurance underwriting, P&C insurance, policy profitability, loss ratio, risk scoring, underwriting API, predictive insurance analytics, property and casualty, submission scoring, commercial lines, risk assessment, actuarial analysis