Digitalis Technologies Ltd.

Digitalis Technologies Ltd. company information, Employees & Contact Information

• Digitalis Technologies Ltd. develops Cyber Intelligence based fraud detection decision support systems for the vehicle insurance market. • The company was founded in 2014 and is privately owned and privately funded. • With 15%-30% of car insurance claims being fraudulent, and fraud getting more and more sophisticated, existing insurance fraud detection systems fail to detect many cases, causing annual losses of more than $32 billion in the U.S. alone. • The Insurance Business is looking for new technologies to reduce these losses. This leads to a CAGR forecast of 17.4%-24% for 2014 - 2019 in the insurance fraud detection business. • Digitalis Technologies' team utilize their vast experience in Homeland Security to generate their original solution. • The company's solution evaluates fraud probabilities by focusing on the individuals involved in the claim using social networks and other open-sources and algorithms plus link analysis to expose both scams and amateur fraud. • The recommendations provided by the system enable more efficient allocation of funds by both detecting fraudulent cases that weren't detected before and by decreasing costs of unnecessary investigations. • The system is designed as an Add-On to existing systems. It can be easily and rapidly deployed within any organization and can be used either on client’s premises or as a service (SaaS, AaaS). • The system is now at a demo version and 3 months from the Proof of Technology (PoT) stage. Within 6 months it will be ready to be installed in a client's site for 1st Proof of Concept (PoC). • Digitalis' potential clients include large system developers and system integrators. • Income is planned to be created from both sales of systems and various services provided. • The version developed is adapted for the insurance fraud detection market, but can be used for variety of other markets, such as the Telecom, Banking, Social Security and Information markets.
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