DeepGreenX Group Inc., an AI-enabled green energy and technology company, and Veea Inc., a pioneer in AI-driven edge computing solutions, have announced a global partnership on a visionary initiative to launch a transformative platform to accelerate the global green energy transition. The AI-driven operating system for energy markets is a Web 3.0 platform-as-a-service (PaaS) powered by Veea’s cybersecure edge computing platform that provides a Decentralized Physical Infrastructure Network (DePIN) with a virtualized software development environment for developer communities to build applications with blockchain and Contextual AI.
The visionary platform to be deployed, with up to $2.8 billion in lease financing in 2025 for the Veea Edge Platform™ as 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 network for Real World Assets (RWA) with actionable information and liquid financial instruments that can be traded and monetized on DeepGreenX’s international 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 Measurement, Reporting and Verification (“dMRV”) through Veea’s decentralized and distributed computing platform, which offers highly flexible and cost-effective IoT capabilities that are easily deployed for a wide range of environments, will also be traded on ECEx.
“The application of real-time contextual AI with Veea’s innovative platform for DeepGreenX’s virtual energy grid and other initiatives such as carbon offsets promises to address some of the world’s most pressing energy challenges,” said Barclay Knapp, CEO of DeepGreenX. “With the significant billion-dollar lease financing committed by DeepGreenX to deploy this infrastructure with Veea, we are confident that we will be able to address the immediate needs of the energy sector in many regions.”
Also Read: Deloitte and Hewlett Packard Enterprise Collaborate to Deliver Private Cloud AI Capabilities
“We are excited to lead the deployment of a global AI-driven hyperconverged platform for a cutting-edge and highly innovative usage-based business model for datafication to monetize energy-based RWA and big data that DeepGreenX has brought to the table,” said Allen Salmasi, Co-Founder and CEO of Veea. “The notion of a global virtual energy grid managed across a terrestrial and satellite-based network supported by an AI-driven platform is truly revolutionary as it can ultimately deliver market-driven energy production and distribution with real-time matching of supply and demand across every corner of the globe.”
Veea’s end-to-end ordering software provides an operating system (OS) form factor for a decentralized and distributed next-generation Web 3.0 platform, supporting federated learning for inference and training of contextual AI models at the edge. Veea Edge AI OS leverages cutting-edge technologies, networking solutions, and strategic partnerships with leading companies including Sway.ai, Builder.ai, New Native, SUI Foundation, Nvidia, Qualcomm Inc., Honeywell Tridium, Viasat, Starlink, and multiple 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 on top of a decentralized infrastructure for AI-driven virtual network management, redefine 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 cutting-edge products from multiple equipment vendors, ensuring versatility and adaptability by facilitating breakthrough AI-driven innovations for the energy industry, along with applications for a diverse set of industries with commercial use cases such as peer-to-peer energy trading across decentralized energy networks on the ECEx international exchange, improving inventory tracking and demand forecasting for supply chain management using sensory data for predictive maintenance, or time-of-day pricing for electric vehicle charging stations or appliance usage.
SOURCE: BusinessWire