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Hive Moderation Review
Hive Moderation is a real-time multimodal moderation API utilized by leading social platforms to manage user-generated content.
shipped Nov 20, 2025trust, security & compliancepaid
1Introduced Moderation 11B VLM in December 2024, enhancing contextual and multi-modal violation detection.
2Achieved 97% NSFW detection accuracy and 95% violence detection accuracy in July 2024, surpassing typical human moderation benchmarks.
3Trained its NSFW model on over 80 million human annotations and its violence model on over 40 million annotations.
4Partnered with the Internet Watch Foundation (IWF) in January 2025 to integrate proprietary datasets for enhanced CSAM detection.
Hive Moderation at a Glance
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overview
What is Hive Moderation?
Hive Moderation is an AI-powered content moderation platform developed by Hive that enables businesses, social media platforms, and online communities to maintain safe and compliant digital environments. It leverages advanced machine learning algorithms to analyze and filter various types of user-generated content (UGC) in real-time. The platform offers automated detection and flagging of harmful, inappropriate, or illegal content across multiple modalities, including text, images, videos, audio, and live streams. Its capabilities extend to identifying hate speech, bullying, threats, explicit language, violence, and drug-related content. Recent advancements include the Moderation 11B Vision Language Model (VLM), released in December 2024, which processes both image and text inputs simultaneously for more flexible and context-dependent moderation scenarios, including contextual and multi-modal violations. The platform's enhanced content moderation product suite, released in July 2024, demonstrated 97% accuracy for NSFW detection and 95% accuracy for violence detection, based on training data sets of over 80 million and 40 million human annotations, respectively.
quick facts
Quick Facts
| Attribute | Value |
|---|---|
| Developer | Hive |
| Business Model | Usage-based |
| Pricing | Usage-based, contact for specific pricing |
| Platforms | API, iOS, Android |
| API Available | Yes |
| Integrations | Via API |
features
Key Features of Hive Moderation
Hive Moderation provides a comprehensive suite of AI-driven features designed for robust content governance across digital platforms. Its core functionality revolves around real-time, multimodal analysis, ensuring rapid identification and mitigation of problematic content. The platform's continuous development includes significant model enhancements and expanded detection capabilities.
- 1Real-time content moderation API for immediate analysis and flagging.
- 2Multimodal content analysis supporting text, images, videos, audio, and live streams.
- 3Automated detection of harmful content categories including hate speech, violence, and explicit material.
- 4AI-generated content detection, including deepfakes, across various media types.
- 5Contextual and multi-modal violation detection via the Moderation 11B VLM.
- 6High accuracy rates for NSFW (97%) and violence (95%) content classification.
- 7Scalable infrastructure capable of processing high volumes of user-generated content.
- 8Integration of proprietary datasets from partners like the Internet Watch Foundation (IWF) for specialized content detection.
use cases
Who Should Use Hive Moderation?
Hive Moderation is primarily designed for organizations and platforms that manage significant volumes of user-generated content and require automated, scalable solutions for maintaining safety, compliance, and brand integrity. Its API-first approach allows for seamless integration into existing digital ecosystems.
- 1Social and Gaming Platforms: For moderating user content, interactions, and live streams to foster safe communities.
- 2E-commerce and Marketplaces: For screening product listings, user reviews, and communications to ensure compliance and positive interactions.
- 3Dating Platforms: For flagging inappropriate profile content, verifying age requirements, and identifying bot accounts.
- 4Businesses and Online Communities: For maintaining safe and compliant digital environments, protecting brand reputation, and encouraging user engagement.
- 5Advertising Measurement: For brands measuring cross-platform advertising and publishers monetizing ad and sponsorship inventory by ensuring content suitability.
pricing
Hive Moderation Pricing & Plans
Hive Moderation operates on a paid, usage-based model. Specific pricing details are not publicly disclosed and require direct consultation with Hive's sales team. The cost structure is typically determined by factors such as the volume of content processed, the modalities analyzed (text, image, video, audio), and the specific AI models utilized for detection (e.g., NSFW, violence, hate speech, CSAM). Enterprise-level agreements often include custom pricing and service level agreements (SLAs).
- 1Contact sales for custom pricing.
competitors
Hive Moderation vs Competitors
Hive Moderation competes in the AI-powered content moderation market against several specialized platforms, each offering distinct approaches to content analysis and policy enforcement.
1
Utopia AI Moderator↗
Utopia AI Moderator offers highly customizable, language-independent, real-time moderation that learns from a platform's specific rules and past decisions.
While Hive Moderation provides a unified API for various content types and excels in AI-generated content detection, Utopia AI Moderator focuses on deep customization and native understanding of multiple languages and dialects without relying on translations, offering a more tailored AI learning approach.
2
Sightengine provides AI-based moderation APIs with granular control, allowing developers to tune confidence thresholds and selectively enable specific classifiers for text, image, and video content.
Both Hive and Sightengine offer multimodal moderation, but Sightengine emphasizes more granular control and custom configuration, whereas Hive focuses on delivering high-volume, pre-trained classification at scale.
3
WebPurify↗
WebPurify offers a hybrid moderation approach, combining AI-powered filtering with optional human review services for text, images, and video content.
Hive Moderation relies entirely on AI models for moderation, while WebPurify provides a hybrid solution with human review for increased accuracy or handling edge cases, and is known for its customizable profanity filters.
4
CleanSpeak is a customizable moderation platform that combines dynamic filtering with machine learning, supporting real-time content analysis, moderation queues, and detailed policy controls.
While Hive focuses on AI-powered classification with pre-trained models, CleanSpeak offers a more hands-on moderation engine, allowing teams to define custom word and phrase lists, set up multilingual filtering, and configure review workflows through an integrated dashboard.
❓
Frequently Asked Questions
+What is Hive Moderation?
Hive Moderation is an AI-powered content moderation platform developed by Hive that enables businesses, social media platforms, and online communities to maintain safe and compliant digital environments. It leverages advanced machine learning algorithms to analyze and filter various types of user-generated content (UGC) in real-time.
+Is Hive Moderation free?
No, Hive Moderation operates on a paid, usage-based model. Specific pricing details are not publicly disclosed and require direct consultation with Hive's sales team, as costs are determined by factors such as content volume and modalities analyzed.
+What are the main features of Hive Moderation?
Key features include real-time multimodal content moderation (text, images, video, audio, live streams), automated detection of harmful content (e.g., hate speech, violence, NSFW), AI-generated content detection (including deepfakes), and contextual/multi-modal violation detection via its Moderation 11B VLM. It offers high accuracy rates, such as 97% for NSFW and 95% for violence detection.
+Who should use Hive Moderation?
Hive Moderation is ideal for social and gaming platforms, e-commerce sites, marketplaces, dating platforms, and any online community or business that needs to moderate large volumes of user-generated content to ensure safety, compliance, and brand reputation. It is also used for advertising measurement.
+How does Hive Moderation compare to alternatives?
Hive Moderation differentiates itself through its unified API for various content types and strong AI-generated content detection. Unlike Utopia AI Moderator's deep language customization, Hive focuses on high-volume, pre-trained classification. Compared to Sightengine's granular control, Hive prioritizes scale. Unlike WebPurify's hybrid AI-human approach, Hive relies solely on AI models. While CleanSpeak offers a hands-on moderation engine, Hive emphasizes AI-powered classification with pre-trained models.
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