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MayIn 2025, brand safety is more important than ever. Effective online content moderation is a key component of brand strategy, and it ultimately contributes to a brand’s bottom line. A leading AdTech company turned to MLtwist to develop an advanced AI-powered content moderation system capable of detecting and flagging offensive content across multiple media formats–including video, image, text, and audio.
The requirement: Detecting profanity at the frame level and the second (timestamp marking requested) level. Profanity could appear in various forms:
This required MLtwist to process and analyze data from TikTok and YouTube video files in MP4 format and through direct URLs, ensuring comprehensive content scrutiny.
By leveraging cutting-edge AI models for pre-labeling and MLtwist’s human-in-the-loop (HITL) workflow for data cleaning, transformation, labeling, and quality assurance (QA), the AdTech customer achieved significant improvements in operational efficiency:
MLtwist’s ability to pinpoint the exact timing and nature of offensive content at the frame level empowered the AdTech customer to develop a highly accurate multimodal content classification system. This ensured that brands could confidently advertise in a safe digital environment, free from inappropriate associations.
By integrating MLtwist’s AI-driven moderation solution, the AdTech company enhanced its brand safety measures, enabling its own customers to protect their reputations and maximize ad placements in secure, high-quality spaces.
MLtwist continues to push the boundaries of AI-assisted content moderation, providing innovative solutions that safeguard brands in the digital world.
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