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
Celebrity Voice Detection
Generate
Image Generation
Video Generation
Hive Vision Language Model
Translate
Speech-to-Text
Translation
Search
Custom Search
Media Search
Platform
Custom Training - AutoML
Arbiter
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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About Us
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Hive is now Deploy, an intelligence infrastructure platform that gives developers and enterprises access to open source and proprietary AI models.
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.
