Our Terms & Conditions | Our Privacy Policy
DeepGreenX, Veea Launch Revolutionary AI-Driven Platform for Sustainable Energy
DeepGreenX Group , an AI-enabled green energy and technology company, and 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 a 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.
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 the 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.
Barclay Knapp, CEO, DeepGreenX
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.
Allen Salmasi, Co-founder and CEO, 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.
Images are for reference only.Images and contents gathered automatic from google or 3rd party sources.All rights on the images and contents are with their legal original owners.
Comments are closed.