Anti-fraud solution designed specifically for mobile:
Easy integration via popular analytics services and tracking platforms makes possible to start working immediately.
AI and Big Data to
differentiate real user
and fraudulent installs.
Interpreting of fraud types
and reasons up to
Scalarr can easily detect even
the most ingenious scammers
using its experience
and machine learning tools.
An easy way to the monitor efficiency of invested funds and pay for real user only.
Adopting a proactive approach to protect against poor quality traffic sources and ensuring unchallenged reputation of their companies.
We combined supervised and unsupervised
machine learning algorithms to detect fraud
patterns by correlating device, and
events attributes and markers
Facing the main problem of advisers we deploy heuristic rules to interpret the results generated by MLs algorithms and name fraud and the way of detection.
Each app has its individual 'magic' numbers. Self-learning engine helps to ensure high accuracy and minimize false positive results.
As a whole, our system helps identify bad
traffic from the moment the campaign is
launched and throughout its lifetime.