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When it comes to the biggest mobile advertising landscape threats, Scalarr uses 3 layers of next-generation Machine Learning algorithms that detect all types of mobile app install fraud with dramatically improved accuracy of up to 97%. The ML algorithms automate the investigation of more data than is possible for a human, continuously learning and generating a personal model of fraud identification for every mobile app.
True Machine Learning to protect app developers from app install ad fraud

Scalarr Neural

Based on the structuring function of biological neural networks, Scalarr’s Neural Network is one of the most powerful machine learning models available on the market today. Scalarr’s Neural Networks are composed of hundreds of neurons that can recognize hidden fraud patterns and make associations, which are incomprehen-sible to humans and contrast the post-install activity. The ability to process billions of data points simultaneously, and self-train, consistently leads to the dramatically increased accuracy of fraud detection.
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Machine Learning

Scalarr's Unsupervised Machine Learning algorithm automatically discovers and learns fraud patterns from huge amounts of highly dimensional unstructured input data without any labeling or training, thus making it possible to uncover the most sophisticated types of fraud and abuses. Read More

By underlying the inherent groupings of anomalies, Unsupervised Machine Learning algorithms are able to foresee unknown and modified patterns with very high precision and completeness.

Machine Learning

Scalarr’s Semi-Supervised Algorithm is developed not only to learn from both unlabeled and labeled data, but make use of unlabeled data within a supervised learning framework.






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We are able to provide a supervised fuzzy rule base generator, which implements a heuristic approach to interpreting outputs and explaining fraud patterns. Read more

Key Knowledge

Key Knowledge Database combines the intelligence of the industry’s shared fraud databases together with Scalarr’s own knowledge set, which includes millions of accounts in order to deeply enrich the data and leverage of accuracy in decisions made by Scalarr’s Machine Learning Engine.

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By appending valuable data points, Scalarr enhances the fraudster’s profile in real time, getting more visibility into their algorithms and connections between them. Read more

Scalarr has dramatically increased the accuracy
of fraud detection
up to 97%

Scalarr Anti-fraud Engine optimizes the most advanced machine learning techniques and models to analyze data; providing the most accurate and meaningful decisions on the level of each conversion, reducing the cycle of ad campaign optimization and preventing fraud-related losses.

Full Scope of Technologies at Work

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Let Machine Learning protect your ad campaigns from fraudsters

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Read also:

Why Mobile Advertisers Should Push For Machine Learning-Based Fraud Detection

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Scalarr and the Future of Fraud Detection: Q&A with Scalarr Founders Inna Ushakova and Yuriy Yashunin

The road to Scalarr's foundation was paved with challenges and opportunities and in this in-depth conversation, you'll learn the story of Scalarr f...

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