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
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Children spend more time online than ever before, using digital platforms to talk, play, and learn. But the same platforms that serve as creative and social spaces can also create opportunities for manipulation and abuse. To protect young users, platforms need reliable tools that can help identify unsafe activity and intervene before incidents intensify. That […]
A financial institution receives a new account application during tax season, when teams are handling more applications and document reviews than usual. The file appears normal: there is a valid‑looking IDs and standard supporting information and documents. At first glance, nothing seems out of place. But the submission is fraudulent, built on documents manipulated or […]
A few years ago, AI-generated music was easy to identify. It appeared infrequently, sounded synthetic, and rarely resembled other releases. That is no longer true. Many AI-generated tracks now contain differences that are imperceptible to the human ear but still identifiable through modern detection systems. AI-generated and AI-assisted tracks now move through standard distribution pipelines, […]
Today, we are excited to launch Hive Detect for Enterprises, a new way for organizations to access Hive’s best-in-class AI-generated and deepfake detection models in a team-ready user experience. This enterprise application delivers a streamlined, drag-and-drop workflow that enables teams to quickly verify the authenticity of images, videos, music, and speech without using an API. Designed […]
As AI-generated content becomes smarter and more realistic, the question of how to tell what is real becomes increasingly difficult to answer. Watermarks are often used as a telltale sign that clearly identifies AI-generated media, giving us confidence in what we are seeing. However, in reality, they are far less reliable than they appear (or […]
Hive is excited to announce the launch of a new bot on X that uses our industry-leading AI models to analyze and share results in real time, completely free for users. How it works Anyone on X can simply tag @hive_ai and ask whether a post, image, video, or audio clip is AI-generated. There’s plenty […]
During the 40 playoff games leading up to the World Series, Strauss’ decal on all MLB batting helmets has driven just more than $8M in equivalent media value (EMV), as calculated by Hive’s Mensio platform
