TheoriqAI Partners With OpenLedger to Build Accountable, Production-Ready DeFi AI Agents

OpenLedger, an AI-focused blockchain network that enables training and deployment of intelligence models, today announced a strategic partnership with TheoriqAI, a decentralized protocol that allows AI agents to collaborate, optimize, and execute on-chain data and financial tasks. Using this collaboration, TheoriqAI utilizes OpenLedger’s AI infrastructure to introduce innovative intelligence capabilities into its AI-driven Web3 platform.

Powered by its native THQ token, TheoriqAI runs an on-chain platform designed for building AI agents that operate and collaborate across decentralized platforms. Using tools like Infinity Hub and Infinite Studio, TheoriqAI allows the development of AI-powered DeFi systems that resolve and manage data-driven problems, helping the decentralized AI economy to operate efficiently. Since its launch in 2022, TheoriqAI continues to empower agents through a combination of blockchain and AI technologies, enabling them to collaborate on-chain, optimize liquidity, and conduct sophisticated tasks in Web3.

The OpenLedger x @TheoriqAI partnership explores how AI agents move from experimentation to real, production-ready DeFi systems.By anchoring agent intelligence to onchain execution, this collaboration enables verifiable execution, auditable state, and transparent economic logic… pic.twitter.com/xWF42GxNvT

— OpenLedger (@OpenledgerHQ) January 16, 2026

Why Partnership with OpenLedger Makes Sense for TheoriqAI

The integration of OpenLedger’s AI infrastructure into TheoriqAI is set to bring several benefits to TheoriqAI’s Web3 intelligence platform.

OpenLedger is a blockchain infrastructure specialized in training and deploying AI models using Datanets (community-owned datasets). The chain is quite different from traditional blockchains, which focus on DeFi or NFTs. OpenLedger is unique as it specializes in making every step of Al lifecycle, model training, inference (AI learning to make predictions and decisions), and deployment (integrating AI to real-world applications), and data contribution transparent, efficient, and user-rewarding. Its Proof of Attribution (PoA) and various tools, including OpenLoRA, Model Factory, and Datanets, support data collection, influence how AI model outputs, and facilitate efficient deployment.

The OpenLedger’s AI infrastructure integration is crucial as it is set to streamline the process of training, inferencing, scaling, and deploying AI-driven decentralized applications on TheoriqAI and supported networks. TheoriqAI’s move to integrate with OpenLedger shows the race to build smarter artificial intelligence using a decentralized AI training model, which is powerful and cost-efficient, unlike the centralized model, which is expensive and opaque

The partnership means TheoriqAI moves towards building, training, and deploying machine learning models without the need for centralized cloud providers, which hoard both data and computational power. By capitalizing on OpenLedger’s decentralized tools for AI development, inference, and task execution, TheoriqAI improves the functionality of its AI-driven Web3 services.

Developing Web3 Intelligence and Efficiency

Using the above partnership, both OpenLedger and TheoriqAI aim to improve customer experience, promote on-chain interoperability, and build powerful AI agents that give Web3 users an advanced experience. The alliance highlights the significance of collaboration within the Web3 space to create a shared value, focusing on improving user experience. The alliance is not just important for TheoriqAI; it’s also crucial for OpenLedger as it helps to expand the AI infrastructure network to wider Web3 users and projects.

The partnership marks a milestone for both OpenLedger and TheoriqAI. By combining their respective tech resources, they are building an ecosystem where Web3 and AI converge to offer an unparalleled user experience. This, as a result, helps to lay the foundation for the next-gen Web3 with new opportunities for users, platforms, and developers.