Brand Safety for UGC: Blocking Unwanted Associations
Oleg Tagobitsky Oleg Tagobitsky

Brand Safety for UGC: Blocking Unwanted Associations

In today’s image-first digital world, a single user-generated meme can thrust a respected brand into controversy overnight. As billions of images and videos flood platforms daily, logos are increasingly misused — paired with hate speech, deepfakes, or explicit content. For C-level leaders, this poses a high-speed reputational risk that demands real-time, automated action. This post explores how AI-powered logo recognition, context-aware moderation, and scalable visual intelligence are helping platforms and brand owners protect their reputation, satisfy regulators, and unlock new business value — before harmful content goes viral.

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NSFW API: Making Online Spaces Safer
Oleg Tagobitsky Oleg Tagobitsky

NSFW API: Making Online Spaces Safer

In an era of explosive user-generated content and tightening global regulations, ensuring online safety is no longer optional — it’s a strategic imperative. This blog post explores how AI-powered NSFW detection is transforming content moderation across industries, from live streaming and e-commerce to cloud storage and AdTech. Discover how leading platforms are leveraging deep learning to automate explicit content filtering, reduce operational costs, and build user trust — fast. Whether you’re scaling a startup or protecting a global brand, the path to safer digital spaces starts here.

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Automated NSFW Detection: The 2025 Content-Safety Playbook
Oleg Tagobitsky Oleg Tagobitsky

Automated NSFW Detection: The 2025 Content-Safety Playbook

In 2025, content safety is no longer optional — it’s mission-critical. As short-form videos, livestreams and user-generated content explode across platforms, companies must build smarter, faster NSFW detection pipelines to stay compliant, protect users and earn trust. This playbook dives deep into the $9 billion content moderation market, explains the precision/recall trade-offs that every developer faces and shares actionable strategies to cut false positives without slowing uploads. Whether you're scaling with ready-to-go APIs or planning custom AI solutions, this guide gives you the roadmap to lead in the next generation of digital safety.

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Reducing Moderation Costs with NSFW Detection Automation
Oleg Tagobitsky Oleg Tagobitsky

Reducing Moderation Costs with NSFW Detection Automation

As user-generated content continues to flood digital platforms, the challenge of moderating inappropriate material — especially NSFW (Not Safe For Work) content — has become more complex and costly. Relying solely on human moderators is no longer sustainable due to high operational expenses, slow response times and the emotional toll it takes on staff. In this blog post, we take a deep dive into how automated NSFW detection is revolutionizing content moderation. You’ll learn about the technologies powering AI-driven moderation, the key benefits of automation — including cost reduction, improved accuracy, and scalability — and real-world applications across industries like social media, e-commerce, video streaming and online education. Whether you're a startup or an established platform, discover why now is the time to rethink your moderation strategy and explore smart, scalable solutions that protect your users and your brand.

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How Computer Vision Transforms Livestream Content Moderation
Oleg Tagobitsky Oleg Tagobitsky

How Computer Vision Transforms Livestream Content Moderation

Livestreaming has become a cornerstone of digital engagement across industries like gaming, e-commerce and social media. However, the rapid pace and volume of livestreams present unique challenges, especially in moderating content in real-time. Computer vision is transforming this landscape by automating tasks such as detecting inappropriate visuals, recognizing hate symbols and flagging copyrighted material. With its ability to analyze video streams instantly and accurately, this AI-driven technology is helping platforms create safer, more inclusive and compliant environments for their audiences.

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The Role of AI in Content Moderation: Detecting NSFW Content with Image Processing
Oleg Tagobitsky Oleg Tagobitsky

The Role of AI in Content Moderation: Detecting NSFW Content with Image Processing

AI-powered image processing has become a crucial tool for content moderation, particularly in detecting NSFW content. By leveraging advanced techniques such as object detection, feature extraction, and pattern recognition, AI systems can automatically analyze and flag inappropriate content, ensuring platforms maintain safe and respectful environments. As the volume of user-generated content grows, AI enables faster, more accurate, and scalable moderation, reducing the need for extensive human oversight while improving the user experience. This post explores how AI is revolutionizing NSFW content detection across various industries.

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