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
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
Careers
About Us
Back
Video games have become increasingly social. Players spend time with friends, meet new people, communicate, and build communities that can extend beyond a single match or session. As those social interactions grow, so do the ways players can violate platform policies. That means trust & safety teams are managing a wider range of activity while […]
Hive is proud to announce that we’ve achieved both ISO 27001:2022 and SOC Type 2 certifications.
How Easy Is It to Fool A.I.-Detection Tools?
Hive presented at CVPR last week, where we highlighted a few important considerations when building ML models for classification tasks.
Hive analysis found Kia ranked No. 1 among auto brands in sports by share of voice (SOV)
Hive announces a new AutoML tool to train, evaluate, and deploy customized machine learning models.
Hive’s analysis comparing the 2023 and 2022 seasons revealed which assets were most and least impacted by the pitch clock’s effect on game duration.
