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
Text Generation
Multimodal Language Model
Translate
Speech-to-Text
Translation
Search
Custom Search
Reverse Image Search
Media Search
Contextual Search
NFT Search
Platform
Custom Training - AutoML
Moderation Review Tool
NVIDIA NIM
Technology & Digital Platforms
For Online Communities
For Streaming Platforms
For Marketplaces
For Generative AI Apps
For Gaming Companies
For Dating Apps
Sports, Media, & Marketing
For Brands
For Publishers
For Agencies
For Teams and Leagues
Risk & Identity Management
For Insurance Companies
For Financial Services
Use Cases
Content Moderation
Sponsorship Intelligence
Ad Intelligence
Context-Based Ad Targeting
Careers
About Us
Back
Hive joins other leading technology companies and trade organizations in endorsing the NO FAKES Act — a bipartisan piece of legislation aimed at addressing the misuse of generative AI technologies by bad actors.
Yubo scales real-time audio moderation technology across four major international markets
Hive announces a new Deepfake Detection API — a powerful tool that allows digital platforms to easily identify and moderate realistic synthetic images and video.
Hive announces a new API to aid in the moderation of AI-generated media. This powerful classification model identifies both AI artwork and its source engine.
An overview of new classes and other improvements to Hive’s visual moderation model in our latest general release
Inc. features Hive CEO Kevin Guo while discussing how the use of artificial intelligence to automate content moderation can save you money while preserving your brand’s reputation
We look at content moderation shortfalls in the aftermath of the Buffalo attack and state-of-the-art moderation approaches for viral content
