Instnt

About Instnt

Instnt is a New York-based insurance technology company that provides a managed customer acceptance platform designed to mitigate fraud and insure businesses against related financial losses. Founded in 2019 by serial entrepreneur Sunil Madhu, the company utilizes an AI-driven platform to underwrite fraud risks during the customer onboarding process, transferring the residual loss liability to A-rated global insurance carriers. This model allows clients, which include financial institutions, fintechs, and other digital businesses, to approve more legitimate customers without the financial exposure to sophisticated fraud schemes like synthetic identity theft or account takeovers.

The founder and CEO, Sunil Madhu, has over 30 years of experience in technology, specializing in identity and access management, security, and risk and compliance. Before establishing Instnt, Madhu was the founder and CEO of Socure, a prominent digital identity verification company now valued at over $5 billion. His career includes multiple successful ventures and senior technical roles at companies like Cisco and SunGard Availability Services. Madhu's background in building and scaling technology businesses from the ground up informed Instnt's creation, which aims to address the complexities and costs businesses face in managing customer onboarding and fraud prevention.

Instnt's core service combines AI-powered risk assessment with fraud loss insurance, offering up to $100 million in annual fraud loss protection. The platform integrates into a business's existing sign-up flow with a low-code solution, analyzing user data to identify and block fraudulent activities in real-time. The company operates on a performance-based pricing model, charging for accepted customers rather than per transaction. This structure, combined with a streamlined electronic claims process that ensures payouts within 30 days, is designed to help businesses improve margins, secure cash flows, and focus on growth rather than on managing complex fraud detection systems.