OpenLedger and SpaceLabs Join Forces to Decentralize the Future of Intelligence & AI Economy

OpenLedger formed an essential strategic partnership with SpaceLabs, which pioneered the globe’s first AI Prediction Model. This partnership receives support from Animoca Brands and YZI Labs to create verifiable and trustless AI infrastructure.

About OpenLedger & Space Labs

OpenLedger operates as a next-generation blockchain platform specifically designed for artificial intelligence, which leads the way toward decentralizing AI economic infrastructure. The core objective of this platform includes proof of attribution, an accreditation system that guarantees clear credit and equitable payment for all participants who construct AI components or develop models using data, or create AI operators.

OpenLedger and SpaceLabs unite their efforts to develop AI that maintains both scalability and traceable and reliable systems. Through this collaboration, AI developers will earn the power to identify model operations within particular data sources, which lets them enhance their understanding while refining their models and establishing trust in their built intelligence.

Powering a Verifiable AI Economy

Technology available to AI agent developers via this partnership provides them access to verified data tracking abilities, which strengthens confidence and trust in their system implementations. The traditional AI ecosystem used to neglect its data contributors, but today they achieve empowerment through secure payment systems that prove their work.

The SpaceLabs’ AI World Prediction Model creates the best setting for OpenLedger to use their Proof of Attribution system, ensuring clear tracking of AI processes at every stage.

OpenLedger and SpaceLabs will build infrastructure that reshapes intelligence systems into an open network of fair and accountable data management

Why It Matters: Building Trust in Intelligent Systems

The partnership introduces a trackable decentralized framework that shows the impact of every participating stakeholder while rewarding their contributions; therefore, it leads the intelligent systems away from hidden systems and toward open accountability.