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Pundi AI and REI Network Join Forces to Provide Zero Cost Data on Next Gen AI Resorting

Pundi AI and REI Network Join Forces to Provide Zero Cost Data on Next Gen AI Resorting

BlockchainReporterBlockchainReporter2026/01/29 08:00
By:BlockchainReporter

Pundi AI is making a strategic partnership with REI Network to deliver a zero-cost data infrastructure for the Web3 ecosystem. This collaboration combines the powers of the decentralized data platform of Pundi AI and the gas-less, high-performance blockchain architecture of REI Network. It is expected to change how AI applications access and utilize blockchain-based data sets.

Zero Fee Data Infrastructure for AI Application

The partnership focuses on bringing the data solutions of Pundi AI within the REI Network ecosystem. This enables programmers to develop artificial intelligence programs with direct access to verifiable, community-controlled data sets at no cost in terms of expensive gas charges. REI Network, formerly recognized as GXChain, is a Layer-1 EVM compatible blockchain designed to eliminate transaction fees through a staking-based bandwidth model, replacing traditional gas fees for each transaction.

Pundi AI has built a strong data foundation through its innovative data platform and the anticipated launch of the AI Data Marketplace. Through a Tag-to-Earn ecosystem, the Pundi AI Platform allows users to provide labels and annotations on datasets in exchange for PUNDIAI Tokens. Pundi AI emphasizes an evidence-based and human-centric approach to provide high-quality datasets to AI developers. As a result, this reduces costs and resolves key issues regarding the accessibility of datasets.

Technical Synergies and Practical Applications

The seamless integration of the two platforms opens exciting possibilities for various applications. REI Network enables nearly 3,000 transactions per second with three seconds per block, which is the amount of speed required for AI applications that rely on rapid data access. Its gas free staking model eliminates unpredictable costs that constantly hold back blockchain based AI development.

Pundi AI Data Marketplace will expand the use of trained and untrained datasets starting in 2025. Data providers will have a way to verify their source and protect the provenance of their datasets when tokenizing them as NFTs through a multi-level validation process; and by supporting the REI Network, developers can access those datasets without incurring additional costs for trading or using them to train and validate their own models.

In addition, this partnership will develop data ownership and transparency through channeling the intellectual property from on-chain through to decentralized governance.

Market Context and Implications for Industry

This partnership emerges amidst the ongoing convergence of AI and blockchain within the technology landscape. Global demand for AI is expected to reach $300 billion in 2026, with blockchain solutions being increasingly used to solve issues with scalability, data privacy and efficiency.

Although this partnership supports REI Network’s overall strategy to bring blockchains into practice, through recent collaborations with Titan Trading Platform and AppBase, it is also very focused on AI-based applications.

When considering the competitive environment, Pundi AI can leverage REI Network’s zero-fee architecture combined with Pundi’s human-curated datasets to create an attractive developer-friendly value proposition.

Conclusion

By eliminating gas expenses for Web3 AI development and offering high-quality community-curated data, these agreements increase Web3 AI development accessibility. Both enable Scalable and Autonomous AI Agent development by overcoming developer cost and data issues. This makes the two firms key infrastructure providers for decentralized applications that combine AI Innovation (AI) with Blockchain Security/Transparency.

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Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.

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