Founded by a team of data scientists with deep expertise in gaming and economic theory, Scientific Revenue delivers a dynamic pricing engine for game publishers that lets them focus on making great games, knowing they have a pricing solution tuned for maximum profit. Games using our technology have been downloaded more than one hundred million times.
Our patent-pending technology uses machine learning, predictive analytics, and temporal pattern matching in order to deliver targeted, per-user pricing that increases conversion and overall in-app purchase revenue. The result: pricing without compromise.
William “Bill” Grosso has been helping games become more profitable for almost a decade.
A veteran in mobile technology companies, Ted Verani is responsible for business development and strategic partnerships with game studios, publishers, online brands and platform providers.
Victor Mendiluce has 16 years of experience building software and teams. At Scientific Revenue, Victor is in charge of engineering, where he's passionate about building systems that are robust and scalable.
John Szeder leads Scientific Revenue's customer technical integrations. He has worked on the platform and publishing side of the games industry, and also has run his own mobile games studio. All of these experiences drive his passion for smooth and successful partner integrations.
Wesley Chang considers himself a Swiss Army Knife in his role. He brings over 3 decades of gaming experience across a variety of platforms and genres to his role, which enables him to play-test different games to gain an understanding of how they function.
J.P. Cull leads Testing & Quality Assurance. He audits the path from our backend pricing engine to the offers actually shown in the mobile game. With a bandoleer of tablets he is ready to test the implementation of your pricing plan.
For Andrew Dirksen, computer science is a way of life. He spends his free time working on independent programming projects.
Andreas Farmakis is responsible for developing plugins, making Scientific Revenue’s SDK widely accessible across gaming platforms, and providing integration support for customers.
Kevin Jiang is passionate about the power of data to illuminate how and why consumers make their decisions.
Derek Liu is a Data Science intern at Scientific Revenue who is passionate about machine learning and deep learning. He is currently responsible for building a CLV prediction model using neural network.
Dimitris Megas is responsible for developing plug-ins for third party gaming engines in Android.
Christopher Pierse has always had a strong passion for two things: playing games and solving complex problems.