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Loss Scan

AI-powered document extraction platform for insurance loss runs and underwriting documents

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Overview

Loss Scan, operating under the parent brand Deep Vector, is a document automation and data extraction platform for the insurance industry. The company serves carriers, brokers, and risk managers by converting unstructured insurance documents -- including loss run reports, certificates of insurance, ACORD forms, and motor vehicle records -- into structured, machine-readable data. Its core market is P&C commercial insurance, where loss run processing is a routine but labor-intensive step in underwriting and account management workflows.

The platform relies on a proprietary extraction algorithm combined with machine learning to classify documents across a library of more than 5,600 carrier-specific form formats. Outputs can be merged, sorted, and searched within the application, enabling users to identify claim trends and produce branded summary reports. The service is delivered as a cloud-based SaaS product with API access for integration into existing carrier and broker systems. The company rebranded from Loss Scan to Deep Vector in January 2025 following its seed funding announcement; the Loss Scan product remains active under the new umbrella.

Deep Vector raised USD 1.5M in seed funding in January 2025 from Aperture Venture Capital and InsurTech NY. The company lists more than 15 named clients, including wholesale brokerages Acrisure, AmWins, and CRC Group. Founded in 2023 by Scott Knowles (CEO) and Wesley Janse van Rensburg (CTO), the company employs approximately eight people.

Products & Services

Loss Scan

Insurance-specific document automation solution that extracts and structures data from loss run reports, certificates of insurance, ACORD forms, and motor vehicle records. Handles documents from more than 5,600 carrier form formats.

Key Features

  • Automated extraction of claims data from carrier-specific loss run PDFs
  • Merge and consolidate claims data from multiple carriers into a single branded report
  • In-app sorting and searching of claims data to identify trends
  • Cloud-based processing supporting unlimited document volumes

Target Users: P&C insurance brokers, carriers, risk managers

Custom Scan

Industry-agnostic document automation product that extends Deep Vector's extraction technology to PDFs, images, and low-quality scans in sectors such as healthcare, finance, and legal.

Key Features

  • Processes poorly formatted scans and image-based PDFs
  • Applicable across healthcare, finance, legal, and general business
  • Uses the same underlying extraction engine as Loss Scan

Target Users: Organizations outside insurance requiring structured document data