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US machine learning startup Soteris launched a profit optimization product that identifies individual property and casualty policies reducing portfolio profitability. Its first product has analyzed over 100 million submissions representing more than $180 billion in premiums since 2020. Soteris says unprofitable policies can make up 20% to 30% of a book, and initial proofs of concept showed EBITDA increases of 70% to 125%.
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