Today, Raiinmaker announced the official launch of TRAIIN VIDEO, a groundbreaking validation and video capture engine built to fuel the future of ethical AI.

Leveraging Aethir’s decentralized GPU infrastructure and AI data validation support, TRAIIN VIDEO transforms everyday visual content into blockchain-verified, high-quality, ethically sourced user-generated video (UGV) datasets curated for training AI video models.

What Is TRAIIN VIDEO?

TRAIIN VIDEO is Raiinmaker’s decentralized engine for capturing and validating video datasets that are:

• Submitted by real people, not scraped from the internet or synthetically generated
• Validated through Raiinmaker’s network of 450,000+ contributors across 190+ countries
• Secured with blockchain metadata for licensing clarity and trust
• Diverse by design, with global cultural and linguistic representation

The engine leverages Aethir’s decentralized GPU cloud infrastructure, giving it the scalable processing power to handle high-volume video data while maintaining top-tier performance and ethical oversight.

Why This Matters for AI

A 2025 white paper by Microsoft, IMD, and EqualVoice confirmed what many feared: LLMs trained on unbalanced datasets risk perpetuating harmful biases. The solution? Verified, diverse, and human-validated content—exactly what TRAIIN VIDEO offers.

“With TRAIIN VIDEO, powered by Aethir’s decentralized infrastructure, we’re giving businesses a way to access diverse, verified content while ensuring that data is collected transparently, reviewed responsibly, and used to train models that align with human values,” said J.D. Seraphine, Founder and CEO of Raiinmaker.

Aethir’s Role: Decentralized Compute at Scale

Behind the scenes, Aethir provides the decentralized GPU backbone that powers TRAIIN VIDEO. With over 400,000 high-performance GPUs, including 3,000+ NVIDIA H100s, Aethir’s infrastructure supports the sophisticated data validation pipelines Raiinmaker deploys.

“Raiinmaker is pioneering a powerful new model for ethical AI development and we are proud to support that vision,” said Kyle Okamoto, CTO of Aethir. “By providing the decentralized GPU infrastructure behind TRAIIN VIDEO, we are enabling scalable, high-performance processing power needed to ensure AI models are built on verified, real-world data—not synthetic shortcuts.”

Case Study: Raiinmaker – Scaling Decentralized AI Annotation with Aethir

Built for Humans. Built for the Future.

Unlike content scraped without consent or generated by AI, TRAIIN VIDEO is fair, compliant and human-first:

• Validated by real people
• Contributors are rewarded for their data
• Licensing is secured on-chain for total transparency
• Data is rich with contextual metadata, ideal for video AI models

The result? A powerful new foundation for building AI that reflects the real world in all of its complexity, beauty, diversity, and truth.

Ready to Make It Raiin?

TRAIIN VIDEO is live. Ethical AI starts here.

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