Blockchain and AI infrastructure platform OpenLedger has announced a new project, Datanet. OpenLedger Datanet serves as a unique decentralized data ecosystem to address data fragmentation and build trust in AI. As the platform revealed in its official announcement of Social This development therefore strengthens trust and establishes an exclusive standard for professional and explainable AI.
Introducing OpenLedger Datanet:
Cross-domain data is often fragmented, unreliable, and lacks clear attribution, making it difficult to use as a reliable foundation for AI.
Datanet transforms these raw contributions into a structured, transparent, and attributable network… pic.twitter.com/WTFJs5nYzO
— OpenLedger (@OpenledgerHQ) October 2, 2025
OpenLedger Datanet goes live, delivering trusted and transparent AI data
With the launch of Datanet, OpenLedger plans to provide a trusted foundation for domain-focused AI models, ensuring trust and transparency. Additionally, OpenLedger enables specialized data collection through a decentralized attribution framework, benefiting contributors and validating the authenticity of input. This approach ensures data accuracy and fair sourcing for AI systems. This move will therefore create a balanced network that will equally benefit end users, developers and contributors.
At the heart of this effort, Datanet pays close attention to the development of trusted data. OpenLedger eliminates concerns related to unverifiable claims, duplication, and bias by fully tracing data input back to its origin. This enables an environment where AI performance is guided by data integrity, allowing specialized mechanisms to operate with greater reliability and accuracy. At the same time, the transparency provided by Datanet greatly contributes to the broader explainability of AI.
Additionally, fully verifiable attribution allows you to audit and explain decision-making procedures based on AI models. This minimizes the effects of the “black box” often associated with machine learning. As OpenLedger states, Datanet operates as a decentralized network that handles specific AI training domains. Unlike traditional centralized systems, Datanet operates in a transparent setting, providing trust to institutions and developers regarding the inputs that drive their models.
Driving more reliable, smarter AI models across multiple fields
According to OpenLedger, the release of Datanet opens new avenues for relatively efficient AI applications in various fields such as scientific research, finance, and healthcare. Each of these areas can benefit from accurate, domain-centric datasets that are said to be curated based on verifiable attribution. Overall, OpenLedger Datanet provides structured, attributable, and decentralized data, paving the way for a new wave of more reliable and smarter next-generation AI models.
