INDUSTRY INSIGHT
A PREMIUM RISK MANAGEMENT SOLUTION FOR IGAMING
Frogo , the new all-in-one platform designed for superior risk management , blends deep expertise with cutting-edge innovation , says Volodymyr Todurov
Fraud in igaming typically includes bonus hunting , financial fraud , affiliate fraud and internal fraud . At PIN-UP , I built a large team of analysts to handle various fraud types . We noticed a growing need to reduce routine tasks while complex issues increased and available tools fell short . This prompted us to develop an anti-fraud tool for internal use , which evolved into Frogo .
The idea of bringing Frogo to market came after potential partners raised concerns about risk management and fraud investigations in their companies . We discovered that not all businesses thoroughly investigate fraud , leading to considerable losses . This insight inspired us to transform Frogo into a platform for external clients as well .
FROGO : A CONCENTRATED ANTI- FRAUD FORCE
The latest version of Frogo tackles key challenges in igaming , including bonus abuse , gaming fraud , affiliate cheating , account takeovers and various forms of fraud . It also offers enhanced analytics for VIP detection , user segmentation for CRM , AI prediction models , anomaly alerts and a graph-based investigation tool .
A notable focus is on internal fraud , as employees often have access to sensitive customer data and platform details such as promo codes and platform bugs . Frogo aids in monitoring and reducing the misuse of internal information .
VOLODYMYR TODUROV has eight years of experience in the gambling industry . He is currently the chief analytics officer at PIN-UP Global and CEO of Frogo . Todurov specialises in risk management for sportsbooks , casinos and affiliate programmes , with expertise in datadriven decisionmaking , economic modelling and forecasting .
STRENGTHS AND INNOVATIONS
We provide comprehensive real-time risk scoring for transactions , partners and players , with over 98 % of withdrawal decisions automated . Our system adapts to changing traffic patterns , adjusting alert thresholds accordingly .
We utilise machine learning models to monitor customer behaviour , enabling analysts to focus on complex cases and identifying subtle patterns that assist in fraud detection . Frogo , which has been operational for eight months , features an AI-powered sportsbook fraud prediction model which analyses betting patterns , achieving an average daily precision of 95.7 %, recall of 92.8 %, and an F1-score of 94.3 %. This allows us to detect 93-97 % of fraudulent accounts while reviewing less than 1 % of users .
Previously , at PIN-UP , fraud account cohort had a negative lifetime value ( LTV ) of - $ 21 . Now , we ’ ve improved this to a positive LTV of $ 47 , successfully preventing most fraudsters from withdrawing funds , which has turned into profit for us .
WHO IS FROGO ’ S CLIENT ?
Frogo serves large casino and betting operators , as well as clients in payment solutions and related businesses . Our premium solution streamlines risk management , eliminating the need for custom tool development and large analyst teams . We focus on complex cases , making us ideal for companies that prioritise fraud prevention and seek proactive collaboration . Meet our team and learn more at ICE in Barcelona , Booth 5G31 .
COMPANY PROFILE
• NAME FROGO • FOUNDED 2024
• SECTOR TECHNOLOGY • WEBSITE FROGO . AI
ICE 2025 • ISSUE 137 • 19