Laser-focused mobile ad fraud detection with Machine Learning
Product:
True Machine Learning to protect app developers from app install ad fraud
When it comes to protecting against the biggest mobile advertising threats, Scalarr’s dual-layered, next-generation, Machine Learning algorithms detect a variety of in-app fraud with dramatically improved accuracy of up to 97%.
Test out Scalarr! Overview, inspect, and prevent mobile app install ad fraud with unsupervised machine learning capabilities, before any damage is done.
Address fraud issues with deep analysis on a mass scale
Scalarr applies both unsupervised and semi-supervised machine learning algorithms to automatically detect and recognize fraud patterns from huge amounts of data. It analyzes hundreds of clicks, installs, and post-install event features and variables, thus effectively reducing the number of false-positive and false-negative errors.


Each app has unique 'magic' numbers. Scalarr reveals and applies those numbers to a personalized model and logic for data reconstruction and analysis. With an advanced model view focused on the accuracy of results and completeness, Scalarr is a powerful tool that delivers meaningful outputs on the level of each conversion.
Used and
trusted by industry leaders






Scalarr is
an integrated partner of







Our approach to integration is simple — you can choose whether to be integrated via a customized post-back, or directly via your tracker. Avoid the hassle of lengthy setup times, Scalarr’s solution takes but a few minutes to get up and running.
Scalarr is a fully hosted solution, so you’ll never have to implement SDKs, manage upgrades, or scale the capacity each time you need to increase it.
Focus on Accuracy
Identifies all types of app install ad fraud, even the new and modified patterns
Scalarr uncovers fraud attacks with 97% accuracy and completeness by detecting the acute correlations across multiple accounts together with a deep dive into individual campaign data. Thus, it differentiates and marks various types of fraud, including mixes and new fraud patterns.
Continuously Improved Engine
Utilizing vast amounts of new incoming data, Scalarr’s engine continually improves itself
With its unique self-learning engine, Scalarr helps mobile app developers to stay ahead of fraudsters without the need to constantly update the heuristic rules, as attack techniques are modified. Considering individual metrics, Scalarr produces new features in order to reduce errors.
Our Mission
Our primary aim is to fundamentally change the ecosystem of mobile advertising by putting transparency, openness, and honesty at the heart of our system, as the basic rules that govern it.
Through combined efforts of the best specialists in the field of Data Science, Machine Learning, and Mobile Advertising we aim to build the most accurate and reliable high-tech solution to detect mobile ad fraud.
Power your user acquisition with
Machine Learning to prevent mobile ad fraud before the damage is done
