{
  "id": 9183027,
  "title": "Soteris launches AI tool to identify insurance policies that reduce profits",
  "url": "https://urgent.news/2026/09/22/soteris-launches-ai-tool-to-identify-insurance-policies-that-reduce",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-22T18:52:21.000Z",
  "source": {
    "name": "Contxto",
    "slug": "contxto",
    "url": "https://contxto.com/en/insurtech/soteris-launches-ai-tool-to-identify-insurance-policies-that-reduce-profits/"
  },
  "original_language": "en",
  "account": "Soteris, an AI-focused insurance startup, has introduced a new tool aimed at pinpointing policies that diminish profit margins for property and casualty (P&C) insurers. The company's launch follows a period of improved performance for U.S. P&C insurers, with a $31.7 billion net underwriting gain in the first half of 2026, nearly tripling the $11.6 billion recorded in the same period a year earlier. However, the slowdown in net written premium growth to 2.1% highlights the need for more precise profit optimization.\n\nTraditionally, insurers assess risk by grouping policies into similar segments, allowing for statistically reliable metrics from large policy pools. Yet, this approach can obscure individual policy losses, which, when hidden within aggregate averages, can significantly impact profitability. Soteris' AI tool aims to address this blind spot by identifying and quantifying the contribution of each policy to an insurer's profit, expressed in financial metrics like EBITDA and profit.\n\nSoteris' technology employs machine learning models to analyze policy histories and generate millions or even billions of segmentations based on available characteristics and historical data. By evaluating intersections between these combinations, the tool effectively converts each policy into an individual segment, enabling insurers to act on less profitable policies while preserving the rest of the portfolio. Early proofs of concept have shown EBITDA increases of 70% to 125% for the analyzed books, and the company claims its implementation process takes less than 90 days, with results delivered in under 250 milliseconds.",
  "summary": "Insurers can have a profitable portfolio overall while losing money on a portion of the policies within it. That is the problem Soteris is looking to address with a new artificial intelligence tool. The US machine learning startup focused on the insurance industry announced the launch of a profit optimization product designed to identify, at […]",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}