Haast
Haast is an AI-powered compliance engine that helps enterprises eliminate manual marketing reviews and move faster with confidence.
It uses AI agents to automatically detect and resolve regulatory and brand risks across content, websites, and social channels. By learning each company’s risk tolerance, Haast ensures consistent, policy-aligned decisions without slowing teams down. Marketers can check and fix content before it goes live, while legal teams gain faster, more reliable oversight without being overwhelmed by approvals. Haast works across text, images, PDFs, video, and web content, supporting both pre-launch checks and continuous monitoring of live assets. Embedded directly into existing workflows, it transforms compliance from a bottleneck into a scalable, automated system.
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Click2Mail
Click2Mail transforms traditional mail with its online and on demand, SaaS print to-mail service. Click2Mail gives users access to tools that make it easy to create and mail postcards, letters, and other printed materials. Individuals and organizations can use Click2Mail's easy-to-use Mailing Online Publisher to create, address, and ship mailpieces from anywhere on the globe.
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Safer
Safer is designed to combat the viral dissemination of CSAM material on your platform, ensuring enhanced safety for your team, organization, and users alike. This system not only boosts team efficiency and well-being but also fosters collaboration by dismantling silos and tapping into community expertise. Utilizing advanced perceptual hashing and machine learning algorithms, it effectively identifies both known and unknown CSAM. Flagged content can be queued for review through moderation tools specifically developed with employee wellness as a priority. Verified CSAM is reviewed and reported, with content securely archived to meet regulatory standards. Additionally, Safer expands protective measures to detect both known and potentially new or unreported content at the point of upload. The Safer community collaborates to discover more abuse materials, and our APIs are engineered to enhance the collective knowledge surrounding child abuse content by sharing hashes, comparing with industry-standard hashes, and providing input on false positives. This collective effort not only strengthens the fight against abuse but also encourages a proactive approach to safeguarding vulnerable individuals.
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Alibaba Cloud Content Moderation
Content Moderation utilizes advanced deep learning techniques and draws on Alibaba's extensive experience in Big Data analytics to ensure precise oversight of various types of multimedia content, including images, videos, and text. This system not only aids in filtering out adult content, violence, terrorism, and illegal substances but also addresses issues related to spam and enhances the overall user experience. With the ability to deliver automated moderation responses in under 0.1 seconds and boasting an impressive accuracy rate exceeding 95 percent, it effectively identifies negative content related to harmful behaviors like extremism and profanity. The technology processes billions of multimedia pieces daily, ensuring scalability through Alibaba's sophisticated deep learning infrastructure. Users can tailor the moderation models to fit their unique needs, and the system continuously evolves its recognition capabilities by incorporating new data. As a result, this dynamic approach helps maintain a safer online environment while adapting to emerging trends in content.
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