Hive Moderation is an AI content moderation provider built for trust and safety teams at enterprise scale. Its models detect harmful content, enforce policy and trigger actions across images, video, text and audio. Product areas include content moderation, AI-generated content detection, IP and publicity detection and a moderation dashboard, all reachable through developer-friendly APIs. Hive says it processes billions of pieces of online content every month, and models can be customized from out-of-the-box settings to fit each policy.
Trust and safety managers, platform engineers, policy teams and brand-safety leads at social networks, marketplaces, dating apps, streaming services and other user-generated-content platforms make up the audience. It suits companies whose volume is too large for human review alone and who need consistent enforcement across media types. Developers integrate through APIs, while moderators work in the dashboard.
Typical uses include automating NSFW moderation, filtering out low-quality AI-generated content, flagging the misuse of intellectual property and detecting harmful content before it reaches the community. Platforms use the models to cut the share of material that human reviewers must see, and to apply the same policy to uploaded video, chat text, images and audio. Hive also works with organizations such as Thorn and the IWF on proactive child safety efforts. Case studies and documentation show how customers measure impact, and sales conversations cover custom models and rollout for larger deployments. Out-of-the-box models cover common categories, and customers can tune them to match their own community guidelines instead of accepting one fixed definition of acceptable content.
