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About Scalarr

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.

Founded in 2016 by Inna Ushakova and Yuriy Yashunin.

Founded
2016
Employees
11 to 50
Total funding
$7.5M

Leadership

The top of Scalarr's org chart, with how many people report into each leader.

YYPhoto of Yuriy Yashunin

Yuriy Yashunin

CPO & Co-Founder

IAPhoto of Isaiah A.

Isaiah A.

Head of Sales & Business Development

OMPhoto of Oleg Mygryn

Oleg Mygryn

CTO

7 reports

AGPhoto of Anastasiia G.

Anastasiia G.

CSM/Integration Lead

DKPhoto of Dmitry Kaniuka

Dmitry Kaniuka

Python Developer

VPPhoto of Viacheslav Panchenko

Viacheslav Panchenko

Javascript Developer

SZPhoto of Sergii Zaichenko

Sergii Zaichenko

Analytics Team Lead

1 report

DK

Dmytro Kyryk

Senior Software Engineer

DBPhoto of Dmitry Babich

Dmitry Babich

Frontend Developer

Board

AUPhoto of Andrew Ushakov

Andrew Ushakov

Co-Founder

Open roles at Scalarr

Still listed on Scalarr's careers site, first posted over a year ago.