WebPurify
World-Class Image Moderation & More. Discover a faster, more efficient way to keep user-generated content clean. Given the complexities associated with nuance and context, our human moderators are trained to flag violations that fall into the gray areas and make final image decisions that align with your brand standards. Our Automated Intelligent Moderation (AIM) API service offers 24/7 protection from the risks associated with having user-generated content on your brand channels—detecting and removing unwanted images in real-time. This one-of-a-kind solution delivers the best of automated and live moderation through a single, easy-to-use API. AI technology detects images with a high probability of containing undesirable content, limiting the volume that requires human review. The remaining images are then queued up for moderation by experts who are trained to flag any additional violations.
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Preamble
Preamble's AI Safety and Security Platform is an integrated solution designed to streamline and enhance the management of AI systems within an organization. It offers a centralized hub for managing people, overseeing diverse data labeling projects, providing clear guidelines for consistent data labeling, and tracking all labels and datasets.
The platform also facilitates the evaluating of custom models and serves as a comprehensive center for AI safety and security testing and policy deployment. From real-time engagement with AI models to rigorous policy testing, the platform combines these multifaceted components to ensure alignment with organizational values, ethical principles, and compliance standards. Whether it's managing individual roles, conducting adversarial testing, or deploying safety controls, Preamble's platform offers a cohesive and user-friendly environment that addresses the complex and evolving needs of AI safety and security.
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Unitary
Reduce manual moderation overhead with human-like AI classification. Highly accurate AI that understands tone, context, and setting. By considering signals together, just like a human would, Unitary enables you to make more accurate classifications. This means better user experience, less time reviewing inaccurate judgments, and more time for your moderators to focus on what matters. Models custom-fit to your detailed trust and safety guidelines. Off-the-shelf models that take into account tone, context, and setting to deliver significant increases in accuracy. Power real-time customer journeys and workflows. Process tens of millions of pieces of content per day. Reduce manual moderation costs and protect users. Unitary was founded to help brands and platforms understand every piece of content in detail. We do this by building context-aware AI and multimodal machine learning methods to interpret content in context.
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Amazon Rekognition
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
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