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Google Selects Rezolve Ai Database Technology for Google Cloud Web3

Google Selects Rezolve Ai Database Technology for Google Cloud Web3

Google Cloud has chosen Rezolve Ai's proprietary distributed database technology for its Web3 blockchain datasets, marking the company's first major commercial deployment with a large technology firm. Rezolve Ai's technology handles data indexing and processing pipelines across multiple blockchain networks, with the initial phase covering historical information from 10 networks totaling approximately 100 terabytes.

The deployment involves a series of verification procedures, including six cryptographic checks, schema validation, structural verification, and cross-validation before data enters Google Cloud's public datasets. This deployment serves as a significant test for Rezolve's technology, which has been developed as part of the company's broader enterprise infrastructure strategy.

Daniel M. Wagner, Rezolve Ai's Chairman and CEO, emphasized that Google's selection is a valuable endorsement of the company's technology and its infrastructure strategy. The deployment also demonstrates that Rezolve's architecture can meet the technical demands of a leading technology organization.

Rezolve's roadmap includes plans to support additional blockchain networks, expand capabilities, and introduce agentic enhancements. The company has previously aimed to commercialize its distributed database platform as an enterprise infrastructure product, moving beyond its AI-focused solutions.

The expanding AI infrastructure market, as estimated by S&P Global Market Intelligence, could see spending on data ingestion, integration, and preparation increase from $109 billion in 2025 to $295 billion annually by 2030. Rezolve Ai views this growth in infrastructure spending as a potential opportunity for its database technology, as businesses seek more sophisticated systems to process and manage large volumes of data for AI applications.

Written by urgent.news from Yahoo Finance's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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