
AI for content moderation, brand protection, and generative creation
Visit WebsiteThe Bottom Line
Entry price
Paid plans only
Biggest pro
Offers a wide range of AI models for diverse content-related challenges.
Biggest con
Requires technical expertise for full API integration and advanced model customization.
TL;DR - Hive Moderation
- AI for comprehensive content moderation across all media types.
- Tools for brand protection, fraud detection, and generative AI content creation.
- No-code AutoML for building and deploying custom AI models tailored to specific needs.
What is Hive Moderation?
Pros & Cons
Pros
- Offers a wide range of AI models for diverse content-related challenges.
- Provides a no-code AutoML platform for custom model development and deployment.
- Supports moderation across multiple content formats including video, image, text, and audio.
- Includes advanced features like CSAM detection and AI-generated content identification.
- Seamless API integration for existing workflows.
Cons
- Requires technical expertise for full API integration and advanced model customization.
- Pricing details are not transparently listed, requiring direct contact for quotes.
Ratings Across the Web
Ratings aggregated from independent review platforms. Learn more
Key Features
Pricing Plans
Pricing checked Jun 6, 2026
Built for Developers
Pay-as-you-go
- $50+ in Free Credits after adding a payment method
- Selected Models available full pay-as-you-go
- Access to 10+ Hive Models
- Default Rate Limits
- Train Custom Models with AutoML
Built for Enterprise
Contact Us
- Custom Pricing to fit your organization’s usage
- Access to all Hive Models and Hive Moderation Dashboard for fine-grained content reviews and escalations
- Highest Rate Limits to handle large-scale traffic
- Premium Support from our experts
- Multi-region support for faster response times, available for high-volume deployments
Reviews

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Hive Moderation FAQ
How does Hive's AutoML facilitate custom model development for specific business needs?
What types of content can Hive's moderation models analyze for harmful material?
Can Hive help protect intellectual property and detect brand misuse?
How does Hive address the challenge of identifying AI-generated content for fraud detection?
What is the purpose of the Hive Vision Language Model?
Does Hive provide tools for generating new content, beyond just analysis and moderation?
How does Hive assist online communities in maintaining a safe environment?
What kind of data formats does AutoML accept for dataset management?
Source: thehive.ai