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
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.
Our flagship product, Hive Media, is our complete enterprise solution utilizing deep learning to revolutionize traditional media analytics.
This post is intended to provide a quick overview of the multi-indexing approach to fuzzy lookup, as well as some practical tips on how to optimize it.
This post goes over a step-by-step guide to quickly deploy a trained machine learning model to production.
Why do neural networks make the decisions they do? There are now some techniques that help us understand.
Here at Hive, we build deep learning models dedicated to solving visual intelligence problems.
