CaseScan
CaseScan is an AI-powered content detection platform for platforms, Trust & Safety teams, and law enforcement. It combines deep-learning image and video analysis with exact and perceptual hashing to detect known CSAM, previously unknown CSAM, AI-generated CSAM, and manipulated sexual content.
For online platforms, CaseScan provides an API and SDK that can be integrated into uploads, storage, streams, avatars, and chat attachments. Detection results can support automated blocking, human review, escalation, takedowns, and reporting workflows. CaseScan uses a cloud-native, auto-scaling architecture and processes scanned media under a 0 Media Retention approach.
For law enforcement, CaseScan serves as a field and lab triage tool that help investigators identify and prioritize suspected CSAM on seized devices, including previously unknown material. It can operate locally without internet or external database access and includes investigator-protection features such as image blurring.
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EasyCMT
Our always-on tools for marketplace content moderation automatically screens every image uploaded to your platform. It detects nudity, harmful content, weapons and other content that goes against your policy. The platform is also capable to check the text to prevent ALL CAPS and usage of unwanted symbols. It also gives users the tools to enhance their product images, for example, remove the background or change its color.
EasyCMT also has a plug-in for Slack app. Our Slackbot app detects, marks, and removes toxic content from the slack channel. Slackbot ensures that communication in Your digital workspace is safe and appropriate.
Aesthetic content that matches the purpose of the website will encourage users to upload more content or repeatedly visit the website. Quality content is also captured by the Google search engine, ranking the site with good quality content in a more attractive search position.
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Azure AI Content Safety
Azure AI Content Safety is a content moderation platform that uses AI to keep your content safe. Create better online experiences for everyone with powerful AI models that detect offensive or inappropriate content in text and images quickly and efficiently.
Language models analyze multilingual text, in both short and long form, with an understanding of context and semantics.
Vision models perform image recognition and detect objects in images using state-of-the-art Florence technology.
AI content classifiers identify sexual, violent, hate, and self-harm content with high levels of granularity.
Content moderation severity scores indicate the level of content risk on a scale of low to high.
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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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