Deep Vector, a NYC-based provider of an AI platform for analyzing underwriting documents, raised $1.5M in Seed funding.
The round was led by Aperture Venture Capital and InsurTech NY.
The company intends to use the funds to expand operations and its development efforts.
Founded by Scott Knowles and Wesley Janse van Rensburg, Deep Vector helps insurers and brokers translate the influx of analog documents used for underwriting risk, claims loss runs, Acord forms, motor vehicle records, and business records, into usable and actionable data. Previously known as Loss Scan, the company uses a proprietary algorithm and machine learning to classify documents from a library of 5,600+ formats specific to each insurance carrier’s forms. Once identified, it processes and translates the documents into usable data for carriers, brokers, and risk managers.
FinSMEs
08/01/2025