<ul><li>Deep Vector, an AI platform for analyzing underwriting documents, has raised $1.5M in a seed round led by Aperture Venture Capital and InsurTech NY.</li><li>Deep Vector helps insurers and brokers transform analog underwriting documents into usable data using proprietary algorithms and machine learning.</li><li>The platform aims to become the default translation layer for insurance data extraction and has already been adopted by over 30 of the top 100 insurance brokerages.</li><li>Co-founders Scott Knowles and Wesley Janse van Rensburg envision Deep Vector automating the extraction of valuable claims data and liberating insurance professionals to focus on risk management and advisory.</li></ul>

Deep Vector Raises $1.5M to Revolutionize Insurance Data Extraction with AI

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