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.
"By choosing the right anti-fraud solution partners, we feel safe as our business is taken care of and we don’t have to worry about reinventing the wheel by creating our own anti-fraud solution."
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Browse Scalarr Case Studies, Customer Success Stories, & Customer References from 6 businesses that use Scalarr.