Moderate - Trust & Safety
Visual Moderation
Text Moderation
Audio Moderation
CSAM Detection
Demographic Attributes
Detect Objects & Scenes
OCR
Contextual Scene Classification
Detect AI Content
AI-Generated Content Classification
Detect People & Identity
Likeness Detection
Logo & Logo Location
Celebrity Recognition
Generate
Image Generation
Video Generation
Hive Vision Language Model
Translate
Speech-to-Text
Translation
Search
Custom Search
Reverse Image Search
Media Search
Platform
Custom Training - AutoML
Moderation Review Tool
Technology & Digital Platforms
For Online Communities
For Streaming Platforms
For Marketplaces
For Generative AI Apps
For Gaming Companies
For Dating Apps
For Rideshare and Delivery Services
For Music Companies
Media & Sports
For Brands
For Publishers
For Agencies
For Teams and Leagues
Risk & Identity Management
For U.S. Government Agencies
For Insurance Companies
For Financial Services
Use Cases
Content Moderation
Sponsorship Intelligence
Ad Intelligence
Context-Based Ad Targeting
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Hive Vision Language Model (VLM) brings flexible, prompt-based visual understanding to production vision tasks. With Hive VLM, teams can use natural language to define their policy and classify images, video, and text through a single endpoint. But production workflows often need more than flexible prompting — they also need control. That is why we are […]
According to Hive, Super Bowl 59 ads featured far fewer dogs, cats, and electric vehicles than in past years
We are thrilled to announce that Hive is the lead sponsor of the Trust & Safety Summit 2025, Europe’s premier conference for T&S leaders.
Hive is proud to announce that we are partnering with Internet Watch Foundation (IWF), a non-profit organization working to stop child sexual abuse online.
This $2 Billion Content Moderation Company Is Trying To Stop AI Images Of Child Sexual Abuse
We at Hive are excited to share a new report we’ve written on the state of the deepfake—covering its evolving trends, threats, and beyond.
Hive has released Moderation 11B Vision Language Model, which offers a powerful way to handle flexible and context-dependent moderation scenarios.
