Web Analytics

3 Latest Announced Rounds

  • $3,500,000
    Seed

    1 Investors

    Technology, Information and Internet
    Dec 20th, 2024
  • $5,619,170
    Series B

    1 Investors

    Research Services
    Dec 20th, 2024
  • $5,400,000
    Seed

    2 Investors

    Software Development
    Dec 20th, 2024
$657.64M Raised in 42 Funding Rounds in the past 7 Days - View All

Funding Round Profile

DigitalOwl

start up
United States - New York, NY
  • 09/01/2024
  • Unknown
  • $12,000,000

DigitalOwl is revolutionizing the way medical records are reviewed. Our proprietary AI-powered platform is specifically designed for medical records, allowing us to analyze and extract data quickly and accurately.

Our solution eliminates the need for manual review, freeing up your talented resources to focus on more critical activities. With DigitalOwl, you can harness the power of data and empower your team to make more informed decisions.

Our platform organizes data chronologically, making it easy to search and filter by medical condition, date, body system and more. This enables users to understand a complete medical history within a fraction of the time it would take to manually review hundreds of pages.

Say goodbye to the time-consuming, tedious, and error-prone process of manual medical record review. With DigitalOwl, you can significantly reduce the time and expense associated with this process, and gain access to meaningful, actionable insights in a fraction of the time.


Related People

Yuval ManCo Founder

Yuval Man United States - Cresskill, New Jersey

Risk management in the insurance industry fascinates me, particularly in the Life, Disability, W/C, and LTC sectors.

During my time as a personal injury lawyer, I analyzed thousands of medical records for the purpose of evaluating claims cost, benefits worth, length of liability period, and forecasting the medical effect of the injury.
Access to data is central to risk management. The more you know, the lower the risk.
I was obsessed with finding a better way to evaluate and summarize medical information for underwriting and claim analysis.
In 2018, my brother Amit who is an artificial intelligence expert, and I decided to build a company that will use AI and Natural Language Processing to understand any kind of medical record (APS, EHR, EMR, etc.) and to extract all the medical information into a meaningful report. The extracted information is presented chronologically, allowing users to search and filter by condition, date, body part, body system, and provider.

It has been our privilege to build such an awesome company with such a talented team as DigitalOwl. DigitalOwl is a graduate of the Israel Security Agency and Tel Aviv University’s The Xcelerator, the prestigious Fusion LA Accelerator, the unique Deloitte LaunchPad program, IBM Alfa Zone program, and the world’s largest InsurTech program Plug and Play.