MFilterIt
MFilterIt leverages AI-powered real-time fraud detection to protect digital advertising budgets by identifying and blocking sophisticated ad fraud, ensuring advertisers only pay for genuine user engagement and maximizing campaign ROI.
Last updated Jun 23, 2026
At a glance
About
Regional leader in India and Southeast Asia with growing global presence in ad fraud prevention
MFilterIt is a global ad fraud detection and prevention company founded in 2016 that specializes in protecting digital advertising investments through AI and machine learning technologies. The company provides real-time fraud detection solutions that identify and block various types of ad fraud including bot traffic, click fraud, install fraud, and impression fraud across web, mobile, and in-app advertising campaigns. MFilterIt serves advertisers, agencies, ad networks, and publishers across multiple verticals, helping them optimize their ad spend and improve campaign ROI by ensuring genuine user engagement. The company has established itself as a significant player in the ad fraud prevention space, particularly in emerging markets like India and Southeast Asia, while expanding its global footprint. MFilterIt's platform processes billions of ad impressions and clicks, using advanced algorithms and behavioral analysis to distinguish between legitimate users and fraudulent traffic in real-time.
Business model
SaaS
Target market
Mid-Market and Enterprise
What they offer
Real-Time Fraud Detection
AI-powered system that detects and blocks fraudulent traffic in real-time across display, video, and mobile campaigns
Bot Detection
Identifies and filters sophisticated bot traffic including click bots, impression bots, and automated scripts
Click Fraud Prevention
Detects and prevents invalid clicks from bots, click farms, and fraudulent sources
Install Fraud Detection
Identifies fake mobile app installs and attribution fraud in mobile advertising campaigns
Analytics Dashboard
Comprehensive reporting and analytics platform providing insights into fraud patterns and campaign performance
Pre-Bid Filtering
Prevents fraudulent impressions before ad serving through real-time traffic quality assessment
Key features
Use cases
Customer segments
Tech & specs
Technology stack
Security & compliance
Deployment
API
Yes
- 2016 · Founded