Inloco

Inloco began its journey as a student project in 2011 at the Federal University of Pernambuco's IT Center in Brazil, co-founded by André Ferraz and seven others. Ferraz, who serves as CEO, was inspired by conversations with his father, a computer science professor, about the future of the internet. This academic curiosity, combined with an early interest in system security, led to the development of a highly precise geolocation platform.

Initially, the company, then known as In Loco Media, focused on the advertising industry. It developed beaconless indoor location technology that was significantly more precise than GPS, allowing brands to target consumers based on their physical context without requiring extra hardware. This technology powered a mobile advertising network, which helped finance the company's evolution and expansion. A significant milestone was the company's strategic pivot which included selling its advertising division to Magazine Luiza. This allowed the firm to sharpen its focus on security and fraud prevention.

Following this pivot, the company launched Incognia in 2020, a sister company focused on digital identity and fraud prevention for mobile-first companies. Incognia operates in the cybersecurity market, serving clients in sectors like financial services, banking, food delivery, ride-hailing, and e-commerce. The business model is B2B, providing a solution that helps companies reduce fraud and improve user experience simultaneously. Revenue is generated by offering its identity verification and fraud prevention services to these mobile application providers.

The core product is a location-based behavioral biometrics solution that creates a unique "location fingerprint" for each user. By analyzing signals from GPS, Wi-Fi, Bluetooth, and on-device sensors, the technology builds a pattern of a user's trusted locations and movement behavior. This allows for silent, real-time verification of a user's identity during critical moments like onboarding, login, and payments, without requiring active input from the user. This "zero-factor authentication" distinguishes legitimate users from fraudsters by detecting anomalies such as location spoofing or unusual access patterns, thereby reducing friction and preventing account takeovers or payment fraud.

Keywords: location intelligence, fraud prevention, mobile security, behavioral biometrics, digital identity, user authentication, identity verification, fintech security, cybersecurity, location-based services, risk assessment, mobile authentication, zero-factor authentication, device intelligence, location fingerprint, anti-fraud solutions, account takeover prevention, mobile payments security, e-commerce fraud, financial services security