Gunjo · Business Intelligence for the AI Era
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AI Training Data Copyright Licensing Platform

1) Charging AI model developers and enterprises an annual copyright asset licensing fee or billing based on API call vol

MODEL

Key Fields

FIELD STAMPS
IndustryAI / LLM
RegionChina
ScaleMid-size
ChannelOnline

📌 Background

In 2026, as Visual China Group goes public in Hong Kong and explicitly designates AI data licensing as a new growth engine, and Volcano Engine partners with Stephen Chow's Bingo Group for AI video model training licensing using classic movie IPs, UGC and copyrighted content have become the compliant fuel for large language and multi-modal model training. With surging demand for video generation and model fine-tuning from AI companies, compliant data licensing has become a rigid necessity.

👤 Target Customers

AI video generation and large model development companies; film and television companies as well as media platforms holding massive copyrighted content.

💰 Revenue Streams

1) Charging AI model developers and enterprises an annual copyright asset licensing fee or billing based on API call volume; 2) Revenue sharing with copyright owners, with the platform taking a 15-30% commission; 3) Providing API interfaces and charging per training asset invocation.

🧮 Cost Structure

Copyright procurement or revenue-sharing costs; R&D and cloud service expenses for building and maintaining the asset trading platform; labor costs for copyright review and compliance legal teams.

🛡️ Moat

Exclusive copyright pools (such as classic film and television IPs) forming a content barrier; early establishment of technical integration standards with leading AI companies; copyright compliance review systems establishing a trust threshold.

🔑 Keys to Success

  • Binding top-tier film and television IPs as the foundational cornerstone for launch
  • Establishing a clear and transparent tiered copyright licensing system specifically for AI training
  • Building one-click data delivery capabilities that seamlessly integrate with mainstream AI training pipelines

⚠️ Risks

  • Potential legal disputes if copyright infringement liability in AI model training remains difficult to define
  • Large model manufacturers potentially building their own copyright libraries, squeezing third-party platform space

🏢 Cases

  • Visual China AI video asset licensing
  • Volcano Engine and Stephen Chow's Bingo Group classic movie IP collaboration
  • Jiecheng Share's dual-wheel drive strategy of film/TV copyrights combined with AI

📊 SWOT Analysis

Strengths

  • Possession of exclusive and scarce copyright resources (such as Stephen Chow movies)
  • Pioneering compliant licensing model for AI training assets

Weaknesses

  • Reliance on upstream film/TV IP owners' willingness to license and exclusivity agreements
  • Copyright protection technologies for AI video models are not yet fully mature

Opportunities

  • The global AI video generation market has a CAGR of about 35% in 2026, triggering an explosive demand for compliant training assets
  • Major tech players like Volcano Engine entering the market, lowering market education costs

Threats

  • AI companies may bypass the platform to trade directly with copyright owners
  • Infringement risks exist in open-source models and user-generated UGC content