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.
We look at content moderation shortfalls in the aftermath of the Buffalo attack and state-of-the-art moderation approaches for viral content
Our new NFT Search API deploys a robust image similarity model across NFT blockchain data to help platforms identify unlicensed and modified image assets.
Hive unveils the first of its visual search products built on new image similarity models: Custom Search.
Hive unveils an intuitive content moderation interface built deep learning models. Here’s the story behind the product and an overview of key features.
Dan Calpin, President of Hive, speaks on how AI can unlock better sponsorship measurement and increase the value of your sponsorships by 30% or more.
We showcase some unique features of Hive’s OCR Moderation API for online content moderation and compare how our OCR model stacks up against competitors
