Compare CEASE.ai vs. Sightengine in 2025

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Description

A new artificial intelligence system has been developed to detect and respond to child sexual abuse material more efficiently, aimed at protecting victims at a faster rate. Utilizing real CSAM data, this AI effectively scans, identifies, and flags new images that depict child abuse with remarkable precision. In partnership with law enforcement and prominent Canadian universities, CEASE.ai employs a combination of neural networks and various AI models to achieve accurate detection of such harmful content. The system offers investigators a user-friendly plugin that allows them to upload images from their cases and run hash lists to filter out known content. Subsequently, the AI suggests potential labels and prioritizes images that may contain previously unseen CSAM. Investigators can then examine the flagged images, verify their illegal nature, strengthen their cases against perpetrators, and expedite the rescue of vulnerable victims. Additionally, social media platforms integrate with the CEASE.ai API endpoint, which processes all user-uploaded images in real time, ensuring that any content related to child abuse is swiftly identified and labeled by the system. This innovative approach not only enhances the efficiency of investigations but also contributes significantly to the protection of children at risk.

Description

This tool is the perfect tool to automatically moderate content. Filter unwanted content from photos, videos, and live streams. The API instantly returns moderation results and scales automatically to meet your needs. You can easily increase your Moderation Pipeline to millions of images per month. The API was designed by developers for developers. To get the API up and running, you only need to write a few lines. Use our SDKs to get detailed documentation. Built on state-of the-art models and proprietary technology. Moderation decisions are consistent and easily auditable. Feedback loops and continuous improvement are also included. Your images are kept private and are not shared with third parties. The 'offensive endpoint detects and recognizes different types of items that are inappropriate for the general public.