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.
0
Bn+
Flagged Content Globally
0
Content Avoidance / Safety Alert Categories
0
+
Languages Supported for Classification
Related Blogs
Frequently Asked Questions
What is PACE by mFilterIt?
PACE by mFilterIt is an AI-ML-powered brand safety solution that automates the process of identifying unsafe ad placements, ensuring contextual targeting and adherence to industry established safety standards. It protects brand reputation with region-specific sentiment analysis, unsafe content detection, and proactive campaign management, mitigating risks across digital platforms for safer ad placements and optimized performance.
What are the key features of PACE?
PACE blocks unsafe ad placements by validating content through advanced sentiment and semantic analysis, including regional and vernacular nuances. It aligns with GARM brand guidelines and suitability frameworks to classify and filter risky inventory. Using deep learning, PACE proactively enforces exclusion categories to maintain brand-safe environments across digital channels.
How does PACE ensure contextual alignment for ads?
PACE ensures contextual ad alignment by using NLP, frame recognition, and computer vision to match ads with relevant content. It leverages contextual whitelists to place ads in environments that align with brand messaging and audience interests. By dynamically analyzing content, PACE ensures ads stay contextually relevant in real time.
How can brands use PACE to protect their reputation?
Brands can use PACE to protect their reputation by blocking ad placements next to unsafe or harmful content. It categorizes and filters content based on GARM guidelines and suitability standards, ensuring alignment with brand risk thresholds. PACE continuously monitors digital environments to prevent reputation-damaging exposures.
Can PACE analyse video ad placements?
Yes, PACE can analyze video ad placements with advanced capabilities such as frame-by-frame recognition of images, text, logos, scenes, objects, actions, and emotions. This ensures precise contextual alignment and brand safety in every moment of the video.
What insights does PACE provide post-campaign?
PACE identifies and flags unsafe brand placements with concrete evidence such as screenshots, timestamps, and content context. These insights support the blacklisting of harmful platforms or channels, ensuring brands avoid similar unsafe environments in future campaigns.
How does PACE ensure brand safety for advertisers?
PACE ensures brand safety for advertisers by employing real-time brand safety measures. It analyzes content using brand safety metrics, ensuring ads are placed in secure environments, protecting brand reputation and aligning with advertiser guidelines.
