mFilterIt is a digital trust and intelligence company helping businesses validate digital advertising, protect brands, monitor e-commerce activity, and identify financial fraud risks. Its solutions cover three key areas: Media Trust, Brand Trust, and Financial Trust, using AI, machine learning, behavioural intelligence, and OSINT-based monitoring.
Media Trust – Ad Fraud
Full-Funnel Ad Traffic Validation
Validates advertising activity across the complete funnel, from impressions and clicks to visits, installs, leads, conversions, and purchases. It helps identify bots, click farms, device spoofing, fake leads, attribution manipulation, and other forms of invalid traffic.
Branding Campaign Ad Traffic Validation
Helps advertisers validate the quality of traffic and reach generated by branding and awareness campaigns. It focuses on impression quality, viewability, placement integrity, video completion, audience authenticity, and other signals that can affect brand campaign performance.
Web Traffic Validation for Performance Campaigns
Analyzes performance traffic beyond simple click-fraud detection, covering clicks, website visits, user intent, leads, and conversion events. The solution identifies bots, click farms, zero-intent sessions, fake submissions, incentivized traffic, and other low-quality activity.
App Fraud Detection
Validates mobile advertising activity across impressions, clicks, installs, registrations, and in-app events. It helps detect invalid installs, click injection, SDK spoofing, fake users, and other mobile ad fraud patterns while providing source-level traffic intelligence.
Affiliate Fraud Detection & Monitoring
Monitors affiliate programs for fraud and compliance issues such as cookie stuffing, attribution hijacking, brand bidding violations, fake leads, coupon abuse, affiliate link injection, and unauthorized promotions.
Direct Carrier Billing Fraud Detection
Monitors the complete Direct Carrier Billing journey, from acquisition and consent to subscription and billing. It helps identify scripted activations, consent manipulation, affiliate abuse, abnormal subscription behaviour, and other DCB fraud risks.
Media Trust – Brand Safety
Brand Safety & Ad Placement Monitoring
Uses contextual AI, sentiment analysis, and regional intelligence to identify unsafe, unsuitable, or irrelevant advertising environments. It monitors open web, video, CTV/OTT, mobile, and social platforms across multiple languages and contexts.
Media Trust – E-commerce
Digital Commerce Intelligence
Provides digital shelf intelligence across e-commerce, quick-commerce, and other digital retail platforms. It monitors product availability, pricing, discoverability, keywords, listings, reviews, competitors, and share of shelf to help brands understand their online market presence.
Media Trust – Agentic AI
mPulse for E-commerce
An agentic AI platform that connects e-commerce campaign management with digital shelf intelligence. It can support automated bid and budget management, keyword optimization, stock-based campaign controls, and performance monitoring.
mPulse for Branding Campaigns
An agentic operating layer for media campaigns that connects briefing, planning, campaign setup, optimization, reporting, and governance. It supports multiple media platforms while keeping human review and approval within the workflow.
Brand Trust
Brand Protection Solutions
Monitors digital channels for brand impersonation, phishing websites, fake social accounts, copycat apps, IP infringement, fake customer-care channels, misinformation, and other forms of online brand abuse.
Counterfeit Detection
Identifies and classifies potentially counterfeit or unauthorized product listings across digital marketplaces and the open web using signals such as price anomalies, seller authenticity, product information, reviews, and image similarity.
Financial Trust
Digital Scam Monitoring & Detection
Monitors websites, social media, messaging platforms, and other digital channels for financially motivated scams and brand impersonation. It helps identify investment scams, phishing activity, fraudulent payment identifiers, and scam networks for further action.
Merchant Onboarding Risk Analysis
Helps banks, payment aggregators, and fintechs assess merchant risk before and after onboarding. It analyzes merchant websites, predicts MCC categories, identifies restricted or suspicious activities, and provides continuous post-onboarding monitoring.
Mule Account & Transaction Laundering Monitoring
Helps financial institutions identify payment instruments and accounts potentially connected to transaction laundering and illicit online platforms. The solution uses web crawling and OSINT intelligence to identify UPI IDs, card details, bank-transfer information, and other payment identifiers for investigation and action.