Hive
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Hive Vision
Language Model
The new paradigm for content moderation
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Moderation guided by
your policy
Moderation guided by
your policy
Hive’s VLM is designed to behave like a classifier for custom moderation rules. Instead of relying on a fixed set of labels, Trust and Safety teams can describe what they want enforced in the prompt and apply that policy across different content types. When moderation standards change, the prompt can be updated without retraining the model.
Hive’s VLM is designed to behave like a classifier for custom moderation rules. Instead of relying on a fixed set of labels, Trust and Safety teams can describe what they want enforced in the prompt and apply that policy across different content types. When moderation standards change, the prompt can be updated without retraining the model.
Hive’s VLM can support moderation workflows across a wide range of policy areas including:
Hive’s VLM can support moderation workflows across a wide range of policy areas including:
Sexual and suggestive content
Sexual and suggestive content
Hate and abusive content
Drugs and drug-related Imagery
Weapons, including guns
Age-related policy enforcement
Brand and celebrity detection
Sexual and suggestive content
Hate and abusive content
Drugs and drug-related Imagery
Weapons, including guns
Age-related policy enforcement
Brand and celebrity detection
Multimodal moderation in one API
Multimodal moderation in one API
Hive VLM is multimodal, meaning it can reason across text, images, and video together, empowering T&S teams to catch violations that single-modality systems may miss. That means better coverage of nuanced violations, faster enforcement of decisions, and more efficient policy enforcement.
Hive VLM is multimodal, meaning it can reason across text, images, and video together, empowering T&S teams to catch violations that single-modality systems may miss. That means better coverage of nuanced violations, faster enforcement of decisions, and more efficient policy enforcement.
Hive’s VLM supports moderation across various input types:
Hive’s VLM supports moderation across various input types:
Text only
Analyze written content against platform rules.
Image only
Detect policy-violating or unsafe content in images.
Text + image
Evaluate text and visuals together when context changes meaning, such as listings, captions, or messages paired with media.
Video
Run moderation on sampled frames or use frame-level analysis for video workflows. Teams can review outputs per frame or apply a prompt once across the full video, depending on the use case.
Adapt quickly as
policies evolve
Adapt quickly as
policies evolve
Flexible moderation without retraining
Moderation standards can shift quickly. Hive's VLM makes it easier to adapt by letting teams refine prompts, add new enforcement logic, and address emerging edge cases without retraining. Your prompt becomes your policy, making moderation easier to update and maintain.
Built for fast iteration and seamless evaluation
Hive helps Trust & Safety teams quickly refine prompts, test edge cases, and evaluate performance across real moderation scenarios. With Playground for rapid iteration and AutoML Evaluations for structured testing, teams can move from exploration to validation faster and with more confidence.
Adapt quickly as
policies evolve
Adapt quickly as
policies evolve
Flexible moderation without retraining
Moderation standards can shift quickly. Hive's VLM makes it easier to adapt by letting teams refine prompts, add new enforcement logic, and address emerging edge cases without retraining. Your prompt becomes your policy, making moderation easier to update and maintain.
Built for fast iteration and seamless evaluation
Hive helps Trust & Safety teams quickly refine prompts, test edge cases, and evaluate performance across real moderation scenarios. With Playground for rapid iteration and AutoML Evaluations for structured testing, teams can move from exploration to validation faster and with more confidence.
How customers use
Hive Vision Language Model
How customers use
Hive Vision Language Model
Online Communities
Online Communities
Moderate posts, messages, and media with one model built to understand text, images, and video all together.
Moderate posts, messages, and media with one model built to understand text, images, and video all together.
Gaming Companies
Gaming Companies
Analyze entire conversations, forum threads, and in-game interactions to detect offenses.
Analyze entire conversations, forum threads, and in-game interactions to detect offenses.
Marketplaces
Marketplaces
Assess images, video, and text at the same time to verify listings, detect counterfeit or prohibited goods, and enforce content policy compliance.
Assess images, video, and text at the same time to verify listings, detect counterfeit or prohibited goods, and enforce content policy compliance.
Dating Apps
Dating Apps
Evaluate profile photos, bios, and messages together to moderate unsafe content, spot impersonation and AI-enabled fraud, and support age-related policy enforcement.
Evaluate profile photos, bios, and messages together to moderate unsafe content, spot impersonation and AI-enabled fraud, and support age-related policy enforcement.
Rideshare and Delivery Services
Rideshare and Delivery Services
Review messages, user-submitted media, and proof-of-delivery content to detect policy violations, support fraud checks, and verify delivery-related claims.
Review messages, user-submitted media, and proof-of-delivery content to detect policy violations, support fraud checks, and verify delivery-related claims.
See our Hive VLM in action
See our Hive VLM in action
Moderation
Object Detection
Visual Q&A
Prompt
Ready to strengthen content moderation?
Ready to strengthen content moderation?
See how Hive helps platforms detect harmful content, enforce policy, and support trust and safety operations through one comprehensive suite.
See how Hive helps platforms detect harmful content, enforce policy, and support trust and safety operations through one comprehensive suite.