Our capabilities are beyond the limitations of regional and vernacular content. We use a novel approach to identify unsafe content based on regional context.
PACE
Brand Safety and Ad Placement Monitoring
Ai-ML driven brand reputation protection. Identifying brand unsafe ad placement and find brand relevant content for ad placement with contextual targeting across digital advertising platforms.
Trusted by the World’s Biggest Digital-Front Brands
Protect Your Brand Integrity in
The Digital Advertising Ecosystem
Video Brand Safety
Best-in-class brand safety solution for video platforms to identify the anomalies based on contextuality, relevancy and sentiments of the content using the capabilities of Al/ML technology and ensure optimization of highly relevant ad placements compliant with GARM guidelines.
Web Brand Safety
Advanced brand safety solution for web platforms for conducting precise and safe targeting by eliminating ad placements beside unsafe content (complying with GARM and brand guidelines), reducing the chances of over-blocking and chances of targeting irrelevant audiences.
Brand Relevancy
Push the limits of contextual brand suitability with Al. Enable advanced Al- based contextual level targeting that focuses on elements, logos, faces, keywords, objects, sentiments, and more for brands to choose the brand-relevant video for ad placement.
Fortifying Brands with AI-ML powered Brand Safety Tech
mFilterIt PACE expands the scope of your digital advertisements by placing your ads beside safe and identifying contextually relevant content to ensuring your ad reaches the right audience.
Blacklisting Unsafe Ad Placements in Real-time
mFilterIt PACE helps to stay ahead of the sophisticated brand safety threats. Track and analyse your live ad campaigns in real-time to ensure that your ads do not appear beside unsafe or irrelevant content and adhere to The Global Alliance for Responsible Media (GARM) and Advertising guidelines.
Easily Expandable Exclusion List
Our proactive exclusion approach curates an easily expandable exclusion list that helps to eliminate unsafe ad placements to enhance the campaign reach and maintain brand integrity.
Highly Effective Content Validations
Swift content validation process for identifying non-compliant content based on contextuality, relevancy and sentiment of the content to synchronize with brand content. Identify relevant validated content for efficient Ad placement.
Comprehensive Brand Safety Measurements
Our data-driven approach ensures to provide detailed insights into the ad placements analysis post the completion of the campaigns to enable brands to make future decisions with transparency.
Detection of Regional Brand Unsafe Content
V.O.P. Framework
Levelling up marketing 4.0 with safety, transparency and insights
Verify
Advanced AI-ML-based technology and algorithms, verify the content and context of the media placements and avoid placement beside controversial and harmful topics. This includes scanning across the websites and major video streaming platforms, to assess whether the ads are placed beside safe and relevant content and aligned with the brand’s values and guidelines.
Optimize
Optimization of digital ads with data-driven insights and machine learning to make real-time adjustments to media placements and ensure placements beside brand-safe content. Also, identify contextually relevant content of ad placement with brand relevancy. Get performance insights and analysis leading to improved viewability, engagement and conversion rates while maintaining the brand’s integrity.
Protect
Proactive measures to prevent brand safety risks. With AI-ML driven checks and blacklisting ad placements beside unsafe content. Ensure brand safety and help maintain a positive brand image. Risk monitoring and threats assessment to protect the brand reputation and ensure contextual ad relevancy.
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