PredicDO | Data-driven real-time D&O risk assessment: Using ML technology to Empower the Underwriter
PredicDO developed the first technology platform that allows underwriters to predict the risk of a D&O related lawsuit and a Securities Class Action, based on millions of historical and real-time data points about the company and its managers, which are analyzed with advanced tools from the field of bioinformatics and machine learning.
PredicDO Products enable insurers to improve D&O insurance profitability by alerting on High Risk companies and presenting Low Risk companies. The platform enables both single company risk assessment and D&O portfolio analysis - for Insurers and Re-Insurers with large D&O portfolios.
PredicDO Ltd. was founded in 2021, the risk prediction methodology was developed through 30 months of data science research and complex data engineering under scientific supervision of PredicDO CTO: Professor Zohar Yakhini, PhD Math (Stanford), who pioneered bioinformatics practices at Agilent Laboratories.
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Data-driven D&O Risk Assessment:
Using ML technology to Empower the Underwriter
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