Hive AI (Productivity)
Screenshot of Hive AI

Hive AI

Discover what Hive AI is and how its deep learning models handle content moderation, search, and generation across text, images, video, and audio.

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What is Hive AI?

Hive AI is a company offering cloud-based AI solutions that help you understand, search, and create content. Its tools and models use deep learning to analyze text, images, videos, and audio, letting you identify what’s in your content, search the web or your own data, and generate images and text from prompts. Hive also supports content moderation — spotting and removing inappropriate visual content in images, videos, and livestreams, with real-time moderation for audio that catches harmful speech and sounds. It can identify objects, settings, and event types in videos and images, and offers tailored solutions for industries including NFT platforms, marketplaces, dating apps, online communities, brands, publishers, agencies, and sports teams.

Who created Hive AI?

Hive was founded by a team aiming to advance the AI industry with cloud-based solutions. It works with large organizations worldwide and focuses on building deep learning products that solve business problems such as content moderation, brand protection, and targeted advertising.

What is Hive AI used for?

  • Digital platforms use Hive to streamline content moderation and labeling, automate image search and authentication, and help protect digital ownership.
  • Sports, media, and marketing teams use it to measure sponsorships, monitor advertising across platforms, and find new ways to monetize premium ad space.

Key capabilities

  1. Content moderation: Moderate images, videos, GIFs, and livestreams, flagging and removing inappropriate content in real time.
  2. Speech and sound moderation: Real-time audio moderation, including speech-to-text capabilities.
  3. Object recognition: Identify common objects, settings, and event types in videos and images.
  4. Additional features: Extract emojis and text, transcribe audio, identify demographic details and logos, access translation services, and detect AI-generated or modified content.
  5. Platform tools: Use AutoML to build and deploy your own deep learning models, conduct web and copyright searches, and verify NFT uniqueness.
  6. Industry solutions: Purpose-built offerings for NFT platforms, marketplaces, dating apps, online communities, brands, publishers, agencies, and sports teams and leagues.

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