Sigmoid partnered with a leading health insurance company in New York to minimize claim costs and modernize underwriting through advanced risk assessment. Serving health insurance providers and pharma companies, the client struggled with manual evaluations and required a sophisticated system to process diagnostic labs, prescriptions, and claims data. Sigmoid developed an intelligent machine learning software solution that successfully integrated complex data bridges to assign precise group risk scores at multiple levels. By deploying Sigmoid's predictive platform, the client streamlined underwriting workflows, optimized risk accuracy, and significantly reduced overall claim expenses.

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