Top 10 Places to Sell Your Video Content for AI Training Data

s artificial intelligence rapidly evolves—particularly in computer vision, robotics, and generative models—the demand for high-quality, diverse video datasets is surging. From autonomous driving to text-to-video generation, AI companies are seeking real-world footage to improve their systems.

The global market for AI training data is projected to hit $13.5 billion by 2030, up from just $2.2 billion in 2022—driven largely by demand for image and video content.

If you own or manage a video library—whether it's labeled, raw, or categorized—you may be sitting on a valuable asset. Below are 10 trusted platforms and marketplaces where you can sell or license your video content for AI and machine learning projects.

1.OpenAI – Direct Video Licensing

OpenAI has been purchasing unpublished video content from creators to enhance its AI models. They offer compensation depending on quality and uniqueness.

• Ideal for: GPT-4, Sora (text-to-video)
• Model: Direct licensing, paying $1–$4 per minute.

2. Google – AI Dataset Acquisition

Google is acquiring exclusive video datasets from content creators to train its AI systems, particularly for projects like autonomous driving and computer vision.

• Ideal for: : Gemini, Waymo, Google DeepMind
• Model: Exclusive licensing or internal acquisition.

3. Synthesia – Corporate Video Licensing

Synthesia has partnered with Shutterstock to license corporate video footage and improve avatar realism and natural motion generation.

• Ideal for: Synthetic avatars, speech-to-video models
• Model: Licensing through partners like Shutterstock.

4. Adobe – Text-to-Video Dataset Licensing

Adobe is working with creators to source high-quality footage for its generative AI tools, including future text-to-video models.

• Ideal for: Firefly Video, Generative Fill for Video
• Model: Direct partnerships, approx. $3 per minute.Adobe is working with creators to source high-quality footage for its generative AI tools, including future text-to-video models.

5. Meta – Multi-modal AI Training

Meta is training its AI models using data from public posts, video interactions, and possibly third-party video libraries to enhance multi-modal and immersive AI capabilities.

• Ideal for: LLaMA, Ego4D, Make-A-Video
• Model: Training models with public and partner data.

6. NVIDIA – Foundation Model Training

NVIDIA is building large-scale video foundation models and often partners with organizations or acquires datasets to improve its AI training pipelines.

• Ideal for: NeMo, VideoLLaMA, Omniverse AI
• Model: Dataset acquisition and research collaboration.

7. Moonvalley – Creator-Centric Dataset Sourcing

Moonvalley is actively seeking video contributions from independent creators, paying for unpublished or rare content to train its generative video models.

• Ideal for: Proprietary generative video models
• Model: Paying creators directly for rare or unpublished content.

8. Runway – Film & TV Training Partnerships

Runway has collaborated with Lionsgate and other studios to train generative models using large film and TV libraries, offering a hybrid approach to video-based AI development.

• Ideal for: Runway Gen-2, Gen-3 Alpha
• Model: Direct partnerships with creators and studios.

9. Getty Images – Custom Content Licensing

Getty Images works with AI companies by offering exclusive custom content licensing. If you control the rights to niche or large-scale video libraries, Getty can help monetize them through high-value deals.

• Ideal for: Proprietary AI training datasets for partners in tech, healthcare, and media
• Model: Negotiated licensing contracts.
  

10. Versos – Video Data Marketplace for AI Training

• Platform: Versos
• Use case: Designed to help content owners make their entire video archives discoverable by AI companies—no tagging or metadata required.
• Model: Versos enhances discoverability, ingestion, transportation, and rights readiness through natural-language search, cloud-native workflows, and rights compliance tools—making your archive instantly AI-ready and more attractive to buyers

Key Considerations Before Selling:

Before selling your video content for AI training, it’s essential to understand the operational challenges that can affect both your value and accessibility as a data partner:

• Discoverability: AI companies and data buyers need to quickly find relevant footage. Without a semantic, searchable structure, even high-value assets can remain hidden. Versos solves this by making your entire video library searchable via natural language—no tagging or metadata required.
• Ingestion: Most AI pipelines require data to be ingested and formatted at scale. Versos streamlines this process by automatically embedding and structuring your content for AI-ready use.
• Transportation: Moving large volumes of high-resolution video is costly and time-consuming. Versos supports cloud-native workflows, helping you organize and surface content without relocating massive files.
• Rights & Ownership: Ensure you have clear, transferable rights to the content you're selling—including model releases and third-party clearances where needed.
• Compliance: If your content includes personal or sensitive material, consider anonymization or consent protocols to align with privacy standards.

By making your video archive more searchable and AI-ready with Versos, you dramatically increase the chances of monetizing your visual assets—and becoming a preferred partner for AI training initiatives.

Selling your video content for AI training isn’t just about monetization—it’s about contributing to the next generation of intelligent systems.

As demand for high-quality, diverse video data grows, the platforms above offer a range of entry points—from open marketplaces to private licensing deals. The key is to know what you have, ensure your rights are clear, and choose the right distribution strategy for your goals.

Get in touch to see what Versos can do for your company

‍