What is Hive?

Hive AI offers a suite of machine‑learning models that help organizations moderate and analyze multimedia content across multiple modalities. The platform provides visual moderation for images and video, text moderation for written content, audio moderation, and specialized CSAM detection.

Brand protection features include logo and logo‑location detection, celebrity recognition, and media search tools to monitor intellectual‑property usage. Fraud detection and AI‑generated content classification identify deceptive media and synthetic identities at scale.

Custom search and demographic attribute models enable tailored indexing and audience segmentation. Generative capabilities cover image, video, and text creation, while compliance modules support policy enforcement and age verification. The APIs are designed for rapid integration with tech, media, and e‑commerce platforms that require scalable, automated content safety and brand‑protection workflows.

Hive pricing Freemium

Ai image + deepfake classification $0.00
Ai text classification $0.00
Ai audio classification $0.00
Image to image $0.00
Text to audio $0.00
Text to video $0.00
Detect objects & scenes $0.00
Ip likeness detection $0.00
Celebrity recognition $0.00
Contextual scene classification $0.10/minute
Aesthetics classification $0.10/minute
Object detection $0.10/minute
Logo recognition $0.50/minute
Logo & location $0.60/minute
Hive vision language model $0.50/1m input tokens
Text moderation $0.50/1000 requests
Ocr $1.50/1000 requests
Contextual scene classification $1.50/1000 requests
Aesthetics classification $1.50/1000 requests
Object detection $1.50/1000 requests
Ip likeness detection $1.50/1000 requests
Celebrity recognition $1.50/1000 requests
Visual moderation $3.00/1000 requests
Image generation - sdxl $3.00/1000 images*
Logo recognition $5.00/1000 requests
Logo & location $7.00/1000 requests

Hive user reviews

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Hive's key features

  • No-code model fine-tuning
  • One-click model deployment
  • Structured/unstructured data support
  • Automated data labeling and RAG pipeline
  • Multiple model types: text, image, LLM
  • Proprietary and open-source model support

Hive use cases

  • automatically moderate user‑generated images, videos, audio, and text on social media platforms to detect harassment, CSAM, and deepfakes in real‑time
  • protect brand reputation by scanning uploaded media for unauthorized logo usage, celebrity likenesses, and IP infringements before publishing or sharing content
  • enable compliant age verification and audience segmentation for targeted advertising by indexing user demographics from multimodal content and providing real‑time compliance reports

Who is it for?

  • Content managers
  • Social media teams
  • Marketplace admins
  • Advertising teams
  • E-commerce entrepreneurs

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