GatekeeperX, a Colombian-Argentine startup founded in 2025 by four former Rappi executives, officially launched in Colombia in December 2025 with an AI-native platform that processes over 20 million transactions across more than five countries to detect financial fraud and money laundering in real time, entering a Latin American market where the annual financial crime cost reaches US$80 billion, according to Carlos Ayalde, the company’s chief executive officer.
The founding team built GatekeeperX out of a problem they watched accumulate daily at Rappi, Colombia’s most valuable startup and one of Latin America’s largest delivery and payments platforms: Ayalde, with over 15 years in payments and fraud prevention; Renny Hernandez, chief technology officer and architect of anti-fraud backend systems; Martin Moreyra, chief data and AI officer specializing in risk models and machine learning; and Diego Nieto, chief product officer with a background in payments software, all identified a structural gap between the fraud prevention tools the market offered and the scale and sophistication that Latin American digital finance actually required.
Latin America’s financial crime costs and the false rejection problem
The financial crime cost that GatekeeperX targets is not simply a matter of stolen funds: It includes a second, less visible damage that compounds it, since existing risk management systems across Latin American financial institutions reject more than 40% of legitimate transactions without justification, according to Ayalde’s public statements, blocking genuine customers from completing purchases and payments while doing little to stop sophisticated fraud operations that have already learned to circumvent rule-based detection systems.
GatekeeperX’s platform unifies five operational functions that financial institutions in Latin America typically address through separate vendors: fraud strategy design, real-time transaction detection, AML (anti-money laundering) compliance monitoring, behavioral network analysis for identifying coordinated fraud rings, and AI agent automation that replaces manual investigation workflows with self-explaining artificial intelligence that documents its own decisions for regulatory review.
One platform for fraud, AML, and real-time decision-making
The unified architecture is not only a commercial differentiator but a regulatory argument, since Colombia’s Unidad de Informacion y Analisis Financiero (UIAF), the country’s financial intelligence unit under Law 526 of 1999, requires financial institutions to report suspicious transactions and maintain documented AML controls, obligations that historically demanded separate compliance and fraud teams running parallel systems, with the resulting operational gap between them generating both cost and exposure to regulatory sanction.
Colombia included GatekeeperX in two nationally recognized startup lists in 2025: Forbes Colombia’s 100 Startups to Watch and the Colombia Early Stage 100 compiled by Colombia Techweek and Numundo Ventures, placements that reflect a domestic fintech ecosystem increasingly competitive in risk technology, even as the country continues to register some of Latin America’s highest rates of digital financial fraud relative to e-commerce transaction volume.
This will be a test of whether GatekeeperX can convert the credibility of its founders’ Rappi origin story into the enterprise sales cycles that large Colombian banks, insurers, and e-commerce platforms demand, since the global fraud prevention market exceeds US$53 billion and grows at 21% annually.
Colombia’s financial sector now faces the same AI-powered fraud techniques that mature markets in North America and Europe spent the last decade learning to contain; the startup’s goal of ranking among the five largest global fraud prevention solutions by 2030 requires not just superior technology but the institutional trust that only a track record of protecting real financial crime cost, at scale, inside Colombia and across the region, can actually build.