The platform offers a “Payable AI” model for transparent and verifiable data usage.
OpenLedger raised $8 million in seed funding from Polychain Capital and Borderless Capital.
OPEN Mainnet aims to address AI data provenance amid legal scrutiny over data sourcing.
OpenLedger, a Web3 firm backed by Polychain Capital, has officially launched the OPEN Mainnet. This decentralized network aims to address the growing need for transparent data sourcing in the artificial intelligence (AI) space. With the increasing legal and regulatory scrutiny over how AI models are trained, OpenLedger’s new platform offers an innovative solution to track data lineage and ensure fair compensation for contributors.
The OPEN Mainnet introduces a decentralized infrastructure called “Payable AI,” where datasets are uploaded to shared “datanets” for developers to train AI models. Payments for these datasets are routed automatically through smart contracts, ensuring that creators receive compensation based on the actual usage of their work. This approach replicates the compensation models of popular creator platforms like YouTube but specifically for researchers, writers, and other contributors who provide data for AI systems.
A key feature of the OPEN Mainnet is its Proof-of-Attribution system. This mechanism records the lineage of every dataset, model, and agent involved in AI systems on the blockchain. By utilizing this system, OpenLedger ensures that every AI output can be traced back to its source contributors, providing verifiable credits and payments for their work.
This transparent attribution is particularly important as AI companies face mounting criticism for scraping public data without proper compensation.
OpenLedger’s infrastructure offers a solution by enabling a direct link between data usage and contributor payments, avoiding static licensing deals. The system allows creators to earn recurring income whenever their datasets are used by AI models, enhancing the value of their contributions.
OpenLedger’s efforts have been supported by significant investors, including Polychain Capital and Borderless Capital. The company previously raised $8 million in seed funding, which has positioned it at the intersection of Web3 and AI infrastructure.
The firm’s focus on integrating cryptographic verification with machine learning workflows aims to bridge the gap between AI innovation and ethical data sourcing.
This financial backing enables OpenLedger to develop a solution that addresses some of the most pressing issues in AI, such as data provenance, legal compliance, and fair compensation. By embedding transparent and automated payment systems directly into AI workflows, OpenLedger hopes to provide a scalable solution that can be adopted by AI firms globally.
As AI adoption grows, so does the debate around the sourcing of training data. Many major AI companies have faced legal challenges for scraping public data without compensating creators. With lawsuits pending and U.S. public trust in AI declining, OpenLedger’s launch of the OPEN Mainnet comes at a critical time. The platform’s focus on transparent attribution and creator compensation positions it as a potential game-changer for AI data usage.
The decentralized nature of the platform means that data producers can directly plug into AI supply chains, earning passive income as their work is consumed by models. This model, which is described as “Data-as-a-Shared-Service,” ensures that data creators are properly rewarded for their contributions. With OpenLedger’s innovative approach, it may help mitigate some of the legal and ethical concerns surrounding AI data sourcing.
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