HyperVerge Recognized for Transforming Compliance in Financial Services
Bengaluru, India – August 30, 2024 – HyperVerge is thrilled to announce that it has been awarded the prestigious “Best-in-class RegTech Solution” at the Global Fintech Fest 2024. This recognition underscores HyperVerge’s commitment to revolutionizing compliance and fraud prevention in the financial services industry.
“We are honored to receive this award, which is a testament to our team’s hard work and dedication,” said Kedar Kulkarni, CEO of HyperVerge. “Our vision is to democratize the digital financial journeys of end customers by making them trusted, fast, and easy, thereby increasing financial inclusion. We work very closely with our partners to achieve this goal.”
HyperVerge’s cutting-edge solutions leverage advanced AI and machine learning algorithms to help financial institutions navigate compliance challenges with ease. By automating KYC processes, identity verification, and fraud detection, HyperVerge enables its clients to onboard users quickly while maintaining the highest standards of security and compliance.
“We are proud to be at the forefront of transforming how financial institutions approach compliance,” added Kulkarni. “We will continue working hard to provide our customers with the necessary tools to maintain compliance, prevent fraud, and ultimately promote financial inclusion and growth.”
HyperVerge currently offers solutions tailored to the needs of various industries, including banking, insurance, lending, fintech, gig economy, gaming, logistics, edtech, and cryptocurrency.
About HyperVerge
HyperVerge is an AI-powered identity verification platform designed to streamline end-to-end customer onboarding processes. With a focus on reducing user drop-offs and enhancing conversion rates, HyperVerge offers comprehensive solutions that ensure compliance and combat fraud effectively. With over 1 billion identities verified, HyperVerge has demonstrated its effectiveness at scale.
For more information, please visit hyperverge.com.