OORT is a decentralized cloud designed to save data privacy and costs. By integrating global computing and storage resources, OORT provides artificial intelligence solutions to enhance business operations.

In emerging areas such as Artificial Intelligence Generated Content (AIGC), Web3, and the Metaverse, demand for affordable computing power is soaring. Computer power is becoming the "oil" of future human society. At the same time, as concerns over data privacy grow, applications will increasingly focus on ensuring user privacy during data storage and processing. Therefore, a decentralized data infrastructure with enterprise performance is needed to address both of the above needs.

The OORT solution consists of two basic layers: a decentralized infrastructure layer and a generative AI building platform. The infrastructure layer encompasses a global infrastructure with an innovative three-tier node architecture. The architecture supports performance comparable to AWS and supports special data storage, integration, processing and analysis services. Running on a decentralized network, this layer ensures privacy and unparalleled cost savings. Meanwhile, the generative AI building platform running on the OORT AI fabric layer allows enterprises to integrate factually accurate, general-purpose and secure AI into their operations in minutes. OORT solutions support various Web3 applications such as Game-Fi, Social Fi, DeFi, NFT and Web2 applications to easily build and scale their operations.

OORT Storage: Decentralized and enterprise-grade object storage with unparalleled privacy and up to 80% cost savings. 2. OORT Computing: A decentralized computing engine that enables significant cost efficiency for machine learning and all types of data processing functions. 3. OORT AI: A generative AI agent building platform that allows businesses to seamlessly integrate factually accurate, general-purpose and secure AI into their operations in just minutes, not months. No coding or AI experts required.

Technical advantages: Continuous research and development since 2018. Core Technology � Technology supported by academic publications and two U.S. patents. 2. Millions in revenue since November 2021. 3. A strong executive team with core members from world-renowned organizations such as Columbia University, Qualcomm, AT&T, JP Morgan Chase, etc. 4. Globally recognized customers/partners: Dell, Lenovo, Tencent Cloud, Alibaba Cloud, Binance, Cardano, etc. 5. Top advisory board: Dave Mollenhoff (co-founder and former CTO of salesforce.com), Kevin Henshaw (COO and President of Together Labs), Mitch Kennedy (Head of Loyalty Strategy at Dell Global), Steve Liu (McGill University Professor (Canadian Academy of Engineering) etc.

Before we can realize our vision of revolutionizing data infrastructure, we need to overcome some challenging but surmountable obstacles, described below. Usability that is not user-friendly is a key prerequisite for mainstream adoption. But the truth is, Web3 is not user friendly. The vast majority of the world’s population would find it difficult, annoying, and unpleasant just to get onboarded—let alone actually use a decentralized network. Web3’s complicated user experience prevents people outside of the crypto community from seeing how Web3 can actually generate revenue, benefit the world, and simply make life easier. We need a set of tools to simplify current workflows in the decentralized world and facilitate new workflows so that Web3 is no longer limited to transactions. Web3 should be able to meet all the needs of all its users. 2. Enterprise-grade performance Enterprise-grade performance is critical for a useful decentralized data cloud. To compete with traditional data cloud services, Web3 data clouds must have comparable capacity and performance (e.g., scalability, latency, durability, and availability) to Web2 to handle large amounts of data in a privacy-guaranteed manner. For example, video streaming and other data applications hosted on decentralized networks will need to store and retrieve cold and hot data (rarely and frequently accessed data, respectively) to facilitate a frictionless user experience. Currently, decentralized networks cannot host hot data at Internet scale. This is a serious problem. Customers and users across industries and domains require on-demand, reliable, real-time access to data. No support for hot data means no video streaming or other types of content delivery, and speed is everything.