Scalarr is an innovative, Machine Learning based anti-fraud solution that detects the mobile app install fraud with dramatically improved accuracy. There are a lot of different types of app install ad fraud, although the traditional rules-based analysis used by existing solutions helps to detect only few of them. By applying to both unsupervised and semi-supervised machine learning algorithms, Scalarr solves the problem by analyzing deeply hundreds of features and variables, thus reducing efficiently the number of false positive and false-negative errors. With its unique self-learning engine it helps mobile advertisers to stay ahead of fraudsters without any need to update constantly the rules, as they modify their attack techniques.

Marketing

Information Technology

Scalarr

Inna Ushakova

Anastasia Pustoutova

Serhiy Protsenko

Oleg Mygryn

Isaiah A.

Andrew Ushakov

Uri Brison

Yuriy Yashunin

The Engineering Team at Scalarr comprises a diverse group of developers and engineers skilled in various programming languages and technologies. Their primary responsibility is to design, develop, and maintain the core machine learning-based anti-fraud platform. This involves creating efficient algorithms, ensuring seamless integration and performance, managing cloud infrastructure, and continually enhancing the system's ability to detect and prevent mobile app install fraud.

Engineering Team

Data and Analytics

Leadership Team

Engineering Team

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Data and Analytics

Leadership Team