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UGC Content Authorization & AI Training Material Trading Platform

1) Platform commission: 15% to 30% service fee deducted from each material authorization transaction; 2) Enterprise API

MODEL

Key Fields

FIELD STAMPS

IndustryContent / Creator Economy

RegionChina

ScaleMid-size

ChannelOnline

📌 Background

In 2026, demand for AI training data surges, making the authorization of materials like portraits and voices a new avenue for content monetization. The platform allows individuals to set their own authorization fees from 500 RMB to 2,000 RMB, with buyers purchasing usage rights per project. The platform takes a commission ranging from 3% to 30% (based on platform trading caliber). A report by the China Netcasting Services Association shows that in the first three months, the number of AI micro-dramas exceeded 120,000, and 95% of micro-dramas used AI. Overseas counterparts like Vermillio have already secured a $16 million Series A financing.

👤 Target Customers

UGC creators, copyright owners, AI model training companies, short-video platforms

💰 Revenue Streams

1) Platform commission: 15% to 30% service fee deducted from each material authorization transaction; 2) Enterprise API subscription: providing batch authorization data interfaces to AI training companies, billed per usage or via annual fees; 3) Copyright management SaaS: providing copyright registration, infringement monitoring, and rights protection services to creators and institutions, billed monthly.

🧮 Cost Structure

Platform research and development & maintenance costs, content review and copyright verification costs, creator operation and incentive costs, data storage and API server costs.

🛡️ Moat

First-mover copyright compliance pool: The larger the licensed material library accumulated by the platform, the more dependent AI training companies become, forming a two-sided network effect.

🔑 Keys to Success

Establish a credible copyright timestamping and infringement monitoring system
Design a transparent creator revenue distribution mechanism
Sign long-term batch authorization agreements with top-tier AI training companies

⚠️ Risks

Platform reputation damage caused by copyright disputes
Fluctuations in AI training data demand impact revenue
Loss of creators leads to insufficient material supply

🏢 Cases

Visual China AI Data Trading Platform
Volcano Engine Copyright Management Platform
Face Trading Platform

📊 SWOT Analysis

Strengths

Resolves copyright compliance pain points in AI training data
Two-sided market model possesses network effects
Platform commission model ensures stable cash flow

Weaknesses

Copyright verification and infringement adjudication technologies are complex
Creator revenue distribution mechanism is prone to disputes
High reliance on AI training companies' continuous procurement budgets

Opportunities

Continuous growth in demand for AI large model training data
Policies promote compliant trading of data elements
Industry giants like Visual China and Volcano Engine drive market education

Threats

Giants building their own copyright platforms squeeze small and medium platforms
AI-generated content substitutes part of the demand for real materials
Changes in copyright regulations may increase compliance costs

Sources