Voyager Labs Named a 2017 Cool Vendor by Gartner

Leading Analyst Firm Recognizes Innovative Companies in AI for Banking & Investment Services

June 13, 2017 — Hod Hasharon, Israel — Voyager Labs, a leading AI and cognitive deep learning company, today announced that it has been named a Cool Vendor in Gartner’s May 10, 2017 report titled, “Cool Vendors in AI for Banking and Investment Services, 2017” by Moutusi Sau, Derry N. Finkeldey, Alexander Linden and Monica Zlotogorski.

Voyager Labs’ AI platform augments decision making for financial institutions by providing real-time insights about borrowers. The technology supports the credit and loan risk assessment process by turning publicly available social data into financial insights. Through the platform, small and large lending institutions have access to advanced financial analytics. Democratizing data for the lending industry improves efficiencies and puts insights in the hands of the right people at the right time.

Voyager Labs also performs credit assessment optimization to mitigate risk and lower the chance of default. This technology is revolutionary for the credit industry because it gives access to new, nontraditional sources of information, creating more transparency into the credit decision process and making it more inclusive. Groups with little to no credit history can now be considered for a loan, and lending institutions can benefit from a larger loan granting capacity and increased revenue.

“Voyager Labs possesses the unique ability to interpret complex layers of unstructured data in the social sphere, and obtain the insights needed to understand individual behaviors, interests and intent,” said Avi Korenblum, CEO and Founder of Voyager Labs. “Voyager Labs provides financial institutions – banks, insurance companies, and credit-card issuers – with an AI-powered injection of social intelligence that complements existing scoring, closing the credit assessment gap.”

One of the key findings of the Gartner report states: “AI-based tools that employ machine learning, deep neural networks and natural-language processing will continue to gain popularity and make their way into tools used at financial institutions.”