Botlab Announces Nameles, Open Source Ad Fraud Detection

Mikko Kotila

Mikko Kotila

BOSTON, September 27th - Yes, that’s Nameles with one ‘s’. In answer to growing concerns about fraud in the online advertising industry, Botlab has launched Nameles (http://namel.es) as the first open source solution for detecting and filtering ad fraud and other forms of invalid traffic on desktop and mobile. After two years of development and three scientific papers that showcase the effectiveness of the solution, Nameles is launched to help advertising technology companies and trading desks to curb what has rapidly grown into the largest global cybercrime and a grave concern for advertisers. Stephan Loerke, CEO of the World Federation of Advertisers, whose members represent 90% of world’s $700 billion per year media budgets, said: “Nameles appears to be exactly the sort of solution that WFA and our members were calling for in our ad fraud compendium.” Nameles is able to detect invalid traffic on display, video and apps.

Nameles, ad fraud detection method, is based on entropy, an approach widely proven in the fields of finance, intelligence, and physics as an anomaly metric in systems with vast amounts of data and many unknowns. A theory with its roots in thermodynamics, Alan Turing the father of artificial intelligence, first introduced entropy in the computer context when breaking the Nazi code. The principal of Botlab, Mikko Kotila [pictured] says that "Nameles was conceived based on years of experience applying machine intelligence and entropy in other aspects of online media, and seeing that it was the perfect solution for something everyone could have access to, and that could be 100% transparent." Download Full Press Release