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Home » Cryptocurrency

New Blockchain by OpenLedger Traces and Pays for AI Training Data

Published on: November 2025 • Last Updated: February 3, 2026
Barry Elad
Written By
Barry Elad
Barry Elad
Founder & Senior Journalist • 758 Articles
Barry Elad is a seasoned journalist and analyst specializing in finance, technology, AI, and founder of SQ Magazine. He explores the world o...
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OpenLedger has launched its OPEN Mainnet, a new blockchain designed to ensure data contributors are fairly paid when their content is used to train AI systems.

Quick Summary – TLDR:

  • OpenLedger’s OPEN Mainnet introduces “Payable AI” to compensate data creators.
  • The platform uses blockchain to trace AI outputs back to original sources.
  • Smart contracts automatically distribute payments in OPEN tokens.
  • Aims to solve the AI industry’s growing data ethics and trust issues.

What Happened?

OpenLedger has officially launched the OPEN Mainnet, a decentralized blockchain system built to solve one of AI’s biggest ethical dilemmas: uncompensated use of training data. The company calls this a “trillion-dollar theft problem” and says its new infrastructure introduces both transparency and automated payments to the AI supply chain.

OpenLedger Mainnet is Now Live

OpenLedger is now the chain where builders can launch next-generation on-chain platforms. From core infrastructure to new digital economies,

The entire stack is OPEN for teams ready to launch, scale, and innovate on top of OpenLedger Blockchain.… pic.twitter.com/KnuLB2LhVH

— Openledger Foundation (@OpenledgerFdn) November 18, 2025

OPEN Mainnet Brings Transparency to AI Data Use

OpenLedger’s OPEN Mainnet introduces a new concept called “Payable AI,” which directly addresses how AI models are trained on public data without rewarding the original creators. The platform allows researchers, writers, and domain experts to earn passive income when their work is used in AI systems.

Here’s how it works:

  • Users upload datasets to a shared “data network”.
  • Developers build AI models using these datasets.
  • AI outputs are traced back to the original contributors.
  • Smart contracts automatically pay creators based on usage.

The platform’s “Proof of Attribution” and “Proof of Ownership” systems are central to this process. These cryptographic methods record the provenance of every dataset and AI output on-chain, creating a transparent and verifiable trail of data usage.

Automatic Payments Through Smart Contracts

Every time an AI model is trained using data from the OPEN Mainnet, smart contracts distribute payments in the platform’s native OPEN token. This mimics YouTube’s revenue model where content creators are compensated based on viewer engagement, but applied to AI.

For developers, the process is simple. They can use the best AI agents builders without worrying about infrastructure or data hosting, thanks to the OPEN API and smart contract layer. Meanwhile, contributors earn passive income as long as their content powers any AI model on the network.

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OpenLedger previously raised $8 million in a seed funding round led by Polychain Capital and Borderless Capital. This financial backing adds credibility to the project as it invites developers and data creators to join what it calls a “fairer AI economy.”

The infrastructure is described as “data as a shared service,” and positions itself like “Hugging Face meets YouTube, powered by blockchain.” This fusion of open-source AI development and creator compensation could become a new standard in how AI models are built and monetized.

SQ Magazine’s Takeaway

I really like what OpenLedger is doing here. It’s about time someone figured out how to track and pay the people behind the content that trains AI. Too often, writers, artists, and researchers have their work used without consent or credit. This system makes sure people get paid for what they contribute and lets AI developers build on ethical, transparent ground. It’s a win-win and feels like the future of how AI should operate.

SQ Magazine follows strict Publishing Principles and a documented Fact-Check Policy to ensure accuracy, transparency, and editorial independence across all content.

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Barry Elad

Barry Elad

Founder & Senior Journalist


Barry Elad is a seasoned journalist and analyst specializing in finance, technology, AI, and founder of SQ Magazine. He explores the world of artificial intelligence, uncovering trends, data, and real-world impacts for readers. When he’s off the page, you’ll find him cooking healthy meals, practicing yoga, or exploring nature with his family.

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Table of Contents

  • Quick Summary – TLDR:
  • What Happened?
  • OPEN Mainnet Brings Transparency to AI Data Use
  • Automatic Payments Through Smart Contracts
  • Backed by Top Investors
  • SQ Magazine’s Takeaway
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