In the wake of headline-catching hacking cases and reports of millions of dollars lost to fraudsters, businesses and consumers turn to innovative technology to protect their assets. Those who want to stay ahead of the fray are turning to intelligence powerhouse getmeIns™.
getmeIns™ is a product of Click-Ins, an InsurTech company that is breaking ground at the intersection of analytics, analysis, and algorithms and fraud detection.
CTO and Founder Dmitry Geyzersky, stresses that in order to fight fraud, “you always need to be one step ahead, and be able to predict it, not just react to it. You need a different approach. The world goes mobile; therefore, our platform is mobile-first.”
Insurance companies worldwide have faced loss ratios above 100% and are losing money on their main business. Click-Ins is now expanding its operation to US and UK markets with business development for getmeIns™ to ease the pain felt by fraudulent claims in those locations. In the US alone, non-healthcare-related insurance fraud costs the average American family between $400–$700 per year in increased premiums, and insurers in the UK recently reported fraud claims totaling almost £1.3 billion.
The company is gaining traction as it commences key pilot projects, which will no doubt shape and change the way insurance companies and policyholders will do business in the near future to protect their pockets and their policies.
The patented technology of getmeIns™ is a new-generation digital consumer channel which includes provides a turnkey solution that takes care of everything from consumer-facing point-of-sale working under a micro-insurance model, to the business back-end powered by behavioral analytics and innovative intelligent infrastructure for fraud prediction.
Most recently the company was engaged in a major document classification project for one of its clients. Utilizing OCR (Optical Character Recognition) technology getmeInsTM unique application extracted valuable information from unstructured data stored by this insurance company. Unlocking previously inaccessible data and minimizing data entry for its customers decrease the chances for human error and, more importantly, allow to reveal fraud.