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Com Olho is a leading cloud-based machine learning as a service platform. We make it easy for CXO's to understand their consumers using behaviour analytics, machine learning and data science. 

© 2019-2020 COM OLHO IT PRIVATE LIMITED

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Made with      in India

 

Advanced Machine Learning Algorithms

to deterministically detect invalid traffic. 

ML-aaS for Advertisers

Integrate today with no SDK Implementation

Our product philosophy 

Ad Fraud is Lucrative and Scalable, 
no wonder it is the second biggest 

organised crime in the world.

AI Driven

State of the art Generalised Discriminant Analysis(GDA), Network Analysis and Graph Theory and other advanced machine learning algorithms. 

Abnormal Behaviour Detection

First of the kind, fraud coefficients namely Alpha, Beta & Gamma makes our reports interpretation easy and fast. 

>> Deterministic Deep Tech based single test to find presence of fraudulent advertising traffic.
 

>> Non Traditional Deterministic Test for Organic Hijacking.
 

>> Non Traditional Deterministic Test for Bot Mixing.

Independent

Technology would help risk professionals audit their data assets without any conflict of interest. 

Cyber Technology

Cyber Fraud as a problem cannot be solved by technology itself, it needs a cyber technology intervention. 

Single 90-Day Test

Advanced machine learning algorithms to segregate good traffic from bad traffic 

Single test to estimate the percenatge of campaigns being plagued with advertising fraud

Build reports on platform that serve as techno-legal and are admissible in court for fraud

comolho
comolho

Organic Hijacking

Non-Traditional Test for Organic Hijacking

Deterministic non-traditional test for detecting organic hijacking in real time

Identify partner committing advertising fraud and also identify channel from where new users are stolen from

Build reports on platform that serve as techno-legal and are admissible in court for fraud

Move ahead from traditional methods for organic hijacking such as CTTI or Referal ID. 

Non-Traditional Test for Bot Mixing

Deterministic non-traditional test for detecting bot mixing in real time

Identify partner committing advertising fraud and share how the partner is committing to mixing fraud

Build reports on platform that serve as techno-legal and are admissible in court for fraud

Move ahead from traditional methods for bot mixing such as IP analysis, Device Analysis, Geo Fraud etc

comolho

Bot Mixing

Transparency

Create a robust transparent supply chain with partners.

Invalid Traffic

Raise real time alerts with partners on supply of invalid traffic. Uncover data discrepancies. 

Brand Safety

Draw a neat line of understanding about brand safety with partners.

Consulting

Keep changing detection algorithms to confuse fraudster for doing fake optimization of campaigns.

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