DeepGreenX & Veea Announce Global Strategic Partnership Agreement

Source: www.gulfoilandgas.com 11/20/2024, Location: North America

DeepGreenX Group Inc. (“DeepGreenX”), an AI-enabled green energy and technology company, and Veea Inc. (NASDAQ: VEEA), a pioneer in edge computing and AI-driven solutions, announced a global partnership for a visionary initiative to roll-out a transformative platform for accelerating the transition to global green energy. The AI-driven operating system for energy markets is a Web 3.0 platform-as-a-service (PaaS) supported by Veea’s cybersecure edge computing platform providing for a Decentralized Physical Infrastructure Network (DePIN) with virtualized software development environment for developer communities to develop applications with blockchain and Contextual AI.

The farsighted platform to be deployed, with up to $2.8 billion of lease financing in 2025 for Veea Edge Platform™ as a part of a $10 billion investment in edge infrastructure, will transform sustainable energy sources, such as hydro, wind, geothermal, Small Modular Reactors (SMRs), alternative fuels (hydrogen, ammonia, menthol, LNG, etc.) with battery storage and a virtual grid to Real-World Assets (RWA) with actionable insights and liquid financial instruments that can be traded and monetized on DeepGreenX’s global ECEx exchange. Carbon credits originating from a) nature-based assets such as land, forests, and marine carbon capture, and b) commercial and industrial sources such as transportation, construction, supply chain sources, etc., established with digital Measurements, Reporting and Verification (“dMRV”) through Veea’s decentralized and distributed computing platform, offering highly flexible and cost effective IoT capabilities that are easily employed for a wide range of environments, will also be traded on ECEx.

“Real-time application of contextual AI with Veea’s groundbreaking platform to DeepGreenX’s virtual energy grid and other initiatives such as carbon credits promises to address some of the world’s most pressing energy challenges,” said Barclay Knapp, Chief Executive Officer of DeepGreenX. “With the significant lease financing in the range of billions of dollars committed by DeepGreenX to deploying this infrastructure with Veea, we are confident that we are going to be able to address the immediate needs of the energy industry across many regions.”

“We are thrilled in leading the implementation of an AI-driven hyperconverged platform globally for a leading-edge and highly innovative usage-based business model for datafication-to-monetization of energy-based RWA and big data that has been brought about by DeepGreenX,” stated Allen Salmasi, co-founder and CEO of Veea. “The notion of a global virtual energy grid managed through a terrestrial- and satellite-based network supported by an AI-driven platform is truly revolutionary as it ultimately can provide for a market-based production and distribution of energy with real-time matching of supply and demand in every corner of the world.”

Veea’s full-stack middleware offers a form of an operating system (OS) for a decentralized and distributed next-generation Web 3.0 platform supporting federated learning for inferencing and training of Contextual AI models at the edge. Veea Edge AI OS leverages cutting-edge technologies, network solutions and strategic partnerships with leading companies, including Sway.ai, Builder.ai, New Native, SUI Foundation, Nvidia, Qualcomm Inc., Honeywell Tridium, Viasat, Starlink, and a number of 5G network operators. The combined capabilities of blockchain, 5G Multiaccess Edge Computing (MEC), Edge AI OS, and Honeywell Tridium Niagara energy management framework, facilitated by a highly efficient cloud-managed GPU-as-a-Service over a decentralized infrastructure for AI-driven virtual grid management, redefines how businesses and governments address their most critical energy production and distribution challenges.

Veea’s Edge AI OS is architected to support a wide range of edge products by multiple equipment vendors, ensuring versatility and adaptability facilitating breakthrough AI-driven innovations for energy industry along with applications for a diverse set of industries with business use cases such as peer-to-peer energy trading in decentralized energy grids on the global ECEx exchange, enhancing inventory tracking, demand forecasting for supply chain management, utilizing sensory data for predictive maintenance, or time-of-day pricing for EV charging stations or appliance usage.


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