Deep Vector Secures $1.5M to Transform Insurance Data with AI

Deep Vector Successfully Secures $1.5 Million Funding

Deep Vector, a groundbreaking AI platform focused on transforming how underwriting documents are analyzed, has closed a significant seed funding round of $1.5 million. This funding was co-led by Aperture Venture Capital and InsurTech NY, aiming to push the frontiers of insurance data processing.

A New Era for Document Analysis

The challenge faced by insurers and brokers lies in the extensive use of analog documents that are crucial for underwriting risk. These include claims loss runs, Acord forms, motor vehicle records, and various business records. Deep Vector assists in translating these complex documents into actionable data. Formerly known as Loss Scan, the platform is empowered by a proprietary algorithm and machine learning techniques, allowing it to classify documents from an extensive library of over 5,600 formats aligned with different insurance carriers. This advanced technology processes and converts these documents into usable data for carriers, brokers, and risk managers.

Bridging Gaps in Insurance

According to David Gritz, Managing Director at InsurTech NY, the insurance industry traditionally has little motivation to simplify their loss run and claims analysis processes due to their classification as cost centers. However, Deep Vector effectively closes the gap existing between insurance brokers and underwriters, particularly concerning complex commercial accounts. This innovation has proven to save thousands of hours during account analysis.

Deep Vector's Vision for the Future

The ambition of Deep Vector is to emerge as the default translation layer for insurance data extraction. With rapid adoption by over 30 of the top 100 insurance brokerages, alongside additional carriers, underwriters, MGAs, and brokers, it is clear that Deep Vector is not just another player in the field; it is delivering tangible results for the industry.

As Garnet Heraman, General Partner at Aperture VC, expressed, there is considerable potential for growth within Deep Vector. The insurance sector represents the largest repository of business data, and the ability to unlock this data can significantly enhance risk modeling and resource management. Ultimately, this leads to improved customer experiences.

The Founders’ Expertise

Deep Vector's founders, Scott Knowles and Wesley Janse van Rensburg, bring a wealth of experience to the business. Knowles, who began his career as a commercial insurance broker, recently sold their previous insurance analytics company, Modgic, to Zywave. This background equips them with a profound understanding of the market dynamics.

Revolutionizing Data Accessibility

Deep Vector's flagship product, Loss Scan, is positioned to dismantle the longstanding barriers that have kept critical claims data inaccessible for many years. By automating the extraction of data from intricate loss runs, the platform provides insurance professionals with crucial insights that were earlier confined to PDFs and spreadsheets. This advancement is not merely about efficiency; it empowers underwriters to assess risk more accurately and enables brokers to serve their clients with enhanced support.

“With Deep Vector, we assist brokers in reallocating their time and energy towards more meaningful risk management and advisory roles instead of tedious paperwork processing,” remarked Scott Knowles. “By streamlining the tedious task of data extraction, we free insurance professionals to concentrate on what truly matters – analyzing risks and delivering strategic guidance.”

Upcoming Technology Showcase

Deep Vector is set to showcase its advanced technology at the upcoming InsurTech Spring Conference, slated for April 2-3. The conference will take place at Pier 60 in New York City, generating excitement about the innovations that Deep Vector brings to the insurance sector.

About Deep Vector

Deep Vector is dedicated to delivering unparalleled accuracy in data extraction from complex documents, revolutionizing the insurance processing landscape. Initially focused on Loss Runs, the platform has expanded its capabilities to cater to multiple sectors, including finance, healthcare, and government. This adaptable engine is built to streamline data processing, regardless of document type or industry.

About Aperture Venture Capital

Aperture specializes in seed-stage investments, targeting startups that harness financial innovation and AI technologies. Established in 2021, Aperture’s investment network includes global funding giants, ensuring a robust platform for nurturing innovations in banking, payments, insurance, compliance, and enterprise SaaS.

About InsurTech NY

InsurTech NY serves as a pivotal community hub for insurance innovation, where insurers, investors, and companies converge through conferences, competitions, and accelerators. The organization plays a crucial role in accelerating innovation within the corporate landscape, drawing in talent, fostering regulatory ease for innovations, and enhancing investment access.

Frequently Asked Questions

What is Deep Vector's primary product?

Deep Vector's primary product is Loss Scan, which automates the extraction of data from complex underwriting documents.

Who are the key investors in Deep Vector?

Aperture Venture Capital and InsurTech NY co-led the $1.5 million seed funding round for Deep Vector.

How does Deep Vector help insurance professionals?

Deep Vector simplifies the analysis of underwriting documents, saving time and enabling better risk assessment.

Where will Deep Vector showcase its technology?

Deep Vector will showcase its technology at the InsurTech Spring Conference in New York City.

What sectors does Deep Vector serve?

Initially focusing on insurance, Deep Vector's platform is now multi-sector, serving finance, healthcare, and government areas.

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