Pundi AI Partners with Conflux Network to Enhance AI Development
Pundi AI, a prominent player in AI development via decentralized tools, has announced a new partnership with Conflux Network, a permissionless L1 chain linking worldwide decentralized economies. As a part of this collaboration, Pundi AI will integrate its cutting-edge AI data solutions into Conflux Network. The platform disclosed this development in a recent X article shared on X.
https://t.co/BAYz92WcDo— Pundi AI (@PundiAI) March 21, 2025
Conflux Network Integrates Latest AI Data Solutions of Pundi AI to Enhance Performance
According to Pundi AI, the collaboration aims to bring its latest AI data solutions to the users of Conflux Network. Hence, the TreeGraph chain architecture of Conflux Network will be able to enhance the performance of decentralized AI apps. Particularly, the partnership will pay considerable attention to connecting Pundi AI Data Platform as well as AI Data Marketplace. This will permit the developers to use the Annotated datasets for model deployment on the concurrent processing framework of Conflux.
In addition to this, the transaction speeds will reach the 3000-6000 TPS range. The integration will leverage the blockchain technology’s security advantages. In this respect, it will use the EVM compatibility of Conflux to guarantee unparalleled development experiences. Thus, the AI practitioners already acquainted with the tools provided by Ethereum will witness familiar operations.
Comments from Pundi AI’s Founder
Pundi AI’s founder Zac Cheah also commented on this development. The founder considers this a merger of Pundi AI’s endeavors for AI democratization with the high-performance of Conflux blockchain. In line with Cheah’s statement, Pundi AI’s collaboration with Conflux focuses on letting individuals contribute to and leverage AI advancement.
Boosting Speeds, Security, and Overall Developer and User Experience
Conflux COO Yuanjie Zhang deems this initiative to be a crucial move in unlocking latest developer opportunities. Along with that, the integration strengthens developers to matchlessly deploy as well as operate the models of Pundi AI on the Conflux Network. Furthermore, this mutual endeavor increases transfer speeds, performance efficiency in AI apps, security, and overall experience.