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
Careers
About Us
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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 […]
A closer look at Hive’s deep learning models for speech transcription, audio moderation, and sound classification and comparisons to public cloud solutions.
Hive and Elevate Sports Ventures analyze brand exposure within the March Madness tournaments to tally up the final score for sponsors.
March Madness Reportedly Generates $410M of In-Game Brand Exposure
The first of a two-part analysis of the brand exposure generated from this year’s tournaments unveils which brands were early winners.
Hiring Equity, Fan Engagement And Measuring Sponsorship ROI Among Day 1 Themes At Sloan Conference
HIVE Enterprise A.I. President Dan Calpin joins Yahoo Finance Live to discuss the on-screen brand exposures from the Super Bowl, brands that benefit the most, and how this impacts future sports broadcasts.
