On December 1, 2022, OpenAI released ChatGPT, igniting global follow on AI. ChatGPT attracted 1 million users to register in 5 days, and surpassed 100 million in 2 months, becoming one of the fastest rising applications in the history of internet development in nearly 20 years.
However, the 'rapid rise' of centralized AI models does not mean that there are no concerns. First of all, traditional centralized AI models often have extremely large data collection and processing systems, but it is difficult for outsiders to know clearly how these data are collected, stored, annotated, and ultimately used for model training. The opacity of the data layer raises questions about personal privacy protection and data security.
TIME has reported that during the ChatGPT training process, OpenAI hired Kenyan outsourced employees to process a large amount of text involving sensitive content, and these low-paid workers were under tremendous mental stress due to long-term exposure to high-intensity psychological stimulation. Secondly, OpenAI, as the focus of the industry, has also encountered a series of problems recently: there is news that it has once again disbanded the security-related team AGI Readiness, and the frequent departure of core executives has caused shocks in the industry. People are beginning to question whether OpenAI's rapid expansion and commercialization really balance the importance of technical safety and ethics. What's more worth following is that the core data and computing power of the AI industry are gradually concentrating on a few giant companies, and the public and entrepreneurs are worried about the monopoly and unfair competition that may be caused by this "big data + large companies" pattern. By mastering massive amounts of data, these companies not only consolidate their control over technology and markets, but also further increase the barriers to innovation for small and medium-sized businesses and individual developers.
At the same time, the combination of blockchain and AI is becoming increasingly popular. However, with the rise of this trend, there are also more and more short-term speculators, and many blockchain projects are starting to gain followers by exploiting the concept of AI. Even some Meme projects have jumped on the AI bandwagon, attempting to disguise themselves using AI.
As a simple AI chatbot, relying on daily shitposts has gained tens of millions or even billions of market value, and when it plummeted by more than 90% in the insider Pump and Dump, the entire market obviously paid more attention to short-term market effects rather than long-term technological development, and truly down-to-earth projects were ignored.
How to pick out AI blockchain projects with real potential has become an urgent question that needs to be answered.
When we invest in AI blockchain projects, it is necessary to clearly understand that the combination of AI and blockchain is not a simple technical overlay, but an innovation that solves real-world problems within the decentralized framework of blockchain, rather than just an AI label on the project. As a leading decentralized AI (DeAI) project, OORT launched the OORT DataHub Business Edition on December 11th, addressing pain points such as global data scarcity in AI training, centralized AI data collection and processing opacity, and lack of data diversity, providing reliable decentralized solutions for enterprises, developers, and researchers.
OORT has also launched the OORT DataHub Mini App, which allows users to easily contribute data and participate in decentralized data collection, as well as expand the OORT ecosystem and increase user engagement by launching this application on the Telegram platform.
Originated from real needs in the classroom entrepreneurship
To understand OORT, you first need to understand its unique founding background.
The reason for the birth of OORT is not because of the heat of the blockchain industry, nor is it intentionally labeled as 'Web3' for cloud services. The initial motivation comes from the 'real demand' faced by Dr. Li when he lectured on AI reinforcement learning courses at Columbia University in 2018: students need to complete AI agent training projects, but they are difficult to support due to the high cost of traditional cloud services (such as Amazon and Google). In order to help students afford computing power, Dr. Li came up with the idea of using blockchain incentive layer to build decentralized cloud resources.
As the project moves from the classroom to commercial use, Dr. Li further realizes that AI training and data collection face common challenges in real-world scenarios such as high costs, high barriers, and data bias. To achieve truly global data collection and allow participants from around the world to voluntarily contribute computing power and data, it is necessary to solve problems such as cross-border payments, credit endorsements, and revenue distribution. Cryptocurrency payments are naturally suitable for small, cross-border, high-frequency settlements, which happen to fill a key gap in this business model. Unlike many projects that forcibly combine the concepts of 'blockchain + AI' to chase after hot money, OORT's positioning emphasizes real-world needs: by using decentralized cloud services and fair and transparent incentive mechanisms, it reduces the cost of data and computing power in the AI development process, aligns with traditional industries in a more commercially-oriented manner, and truly leverages the advantages of decentralization and cryptocurrency payments.
The technical accumulation of OORT is remarkable. In addition to being an adjunct professor at Columbia University, Dr. Li is also the co-founder of Nakamoto & Turing Labs Inc. and a venture partner at the seed-stage accelerator Aves Lair. He has published several articles on blockchain and AI in Forbes. Previously, he worked in the research department of Qualcomm, specializing in 4G LTE and 5G system design. In the academic field, Dr. Li is a senior member of IEEE and holds over 200 international and US patents (granted and pending), as well as published multiple academic papers in top journals including Proceedings of the IEEE, IEEE Transactions on Information Theory, IEEE Communications Magazine, and Automatica. He also serves as a reviewer and technical program committee member for several top journals and conferences in the field of communication and control.
OORT has also received capital favor, currently a total of $10 million in financing, investment institutions including Taisu Venture, Red Beard Venture, Sanctor Capital, and also received support from Google and Microsoft.
Products and ecology are the AI moat
Eighteen years ago, NVIDIA laid out CUDA, invested and operated continuously, in exchange for the moat of AI gold shovel. From this point, we can also see that the real AI moat must not be a stack of concepts, but a solid product and ecological layout. OORT builds a self-consistent 'cloud service ecology' around computing power, storage, and data, which is the key to supporting DeAI.
!
According to the official documentation, the core idea of OORT is to provide developers with decentralized, low-cost, and highly flexible AI resources, as well as the necessary components. In terms of specific product forms, the team divides the entire project into multiple functional modules and iterative stages. From the roadmap, OORT plans to release the storage layer, data management layer, and computing power layer in steps, and integrate them into a complete DeAI infrastructure ecosystem, allowing various AI applications and regular internet applications to be "plug and play".
Storage: OORT Storage
Among all cloud resources, storage is often the most fundamental and important component. The first flagship product promoted by OORT is OORT Storage, a decentralized distributed storage system that allows users to encrypt and store their data, models, or related files in fragmented form on global nodes. Through blockchain incentive mechanisms, distributed nodes can assist users in achieving reliable data storage and retrieval.
Compared with traditional centralized storage services, OORT Storage emphasizes privacy and flexibility. By using OORT Storage, users can use storage services more flexibly and efficiently, reduce costs, and improve the fit between configuration and demand. For AI applications that want to connect multiple chains or scenarios, OORT Storage may provide a more controllable and flexible infrastructure path. Even for L2, OORT Storage also provides DA layer services.
Data: OORT DataHub
On top of storage, OORT also provides a 'Data Management Layer' called OORT DataHub for users, developers, and data users. This part not only helps users efficiently manage datasets, set flexible access permissions and usage policies, but also supports richer permission management and contract-based data trading and collaboration. It is worth noting that the commercial version of OORT DataHub was officially launched on December 11th and has also been listed on the Shenzhen Data Exchange, becoming the industry's first decentralized data collection and annotation platform.
Compared with traditional data management platforms, OORT DataHub allows users, developers, or enterprises to share and annotate data sets with confidence through blockchain as an incentive and identity verification layer, while also specifying ownership and revenue distribution methods at the contract level.
Simply put, OORT DataHub solves the pain points of data management platforms. First, it makes annotated data transparent and tamper-proof through the inherent characteristics of blockchain, solving the black box problem of AI data collection. More importantly, it enables micro-payments through cryptocurrencies, which not only have extremely low costs but also can be transferred without borders. This creates natural convenience for small data providers and provides technical support for global data access, which is impossible under the traditional financial system.
Recently, the official has announced the launch of a new OORT DataHub Mini App on Telegram Mini App, enabling more users to easily contribute data and collect decentralized data in a familiar social environment. Through Telegram's global user base, the coverage of the OORT ecosystem is further expanded, providing more convenient access for individuals or teams from different backgrounds. With this user-friendly approach, both new and existing users can directly participate in data contribution and collaboration within the messaging app, bringing more possibilities for the development of decentralized AI.
Computing Power: OORT Compute
The further roadmap is that after DataHub, OORT will launch OORT Compute, which means that in addition to storage and data management, decentralized computing power will also be integrated into the system, allowing developers to complete training, inference, and other high-computing power requirements in the same ecosystem. OORT will form an ecological closed loop with the three core functions of "storage + data management + computing", providing one-stop support for the landing of AI, and also paving the way for decentralized cloud services in more commercial fields.
The commercialization road of OORT
A successful AI project relies not only on its innovative technology, but also on the ability to transform these technologies into commercial value. Just like the cooperation between OORT AI and iFLYTEK (a subsidiary of Lenovo Group). The two parties announced a three-year renewal recently.
OORT AI uses generative AI technology to provide a customized platform that creates precise and secure AI agents using private data, offering multi-mode outputs such as images. Lenovo integrated the OORT AI solution into its existing customer service application and uploaded service documents to OORT AI, successfully creating dedicated AI customer service agents. These agents effectively address user issues through AI, with human intervention only when necessary, thereby enhancing the overall responsiveness and efficiency of customer service experience.
According to feedback from previous collaborations, OORT has reduced the cost of enterprise customer service for Zhixiang by about 40%, and customer satisfaction has increased to 95%.
The good performance of the OORT AI solution is due to the three core product lines provided by OORT for enterprise and individual customers, including the launched OORT Storeage, OORT DataHub (B2C, B2B), and the upcoming OORT Compute mentioned above.
At the storage level, OORT collaborates with BNB Greenfield to leverage the extensive infrastructure of over 30,000 nodes worldwide to support BNB Greenfield, enhancing the outstanding storage capacity of BNB Chain and ensuring privacy and cost efficiency. OORT also participates in Dell's innovative loyalty program launched in markets such as Canada, the United States, and Japan. Oort provides Dell customers with decentralized storage services, including data storage and data migration, bridging the gap between web2 and web3 in terms of data services, allowing users to securely store, migrate, and retrieve data anytime, anywhere.
In the process of comprehensively deploying decentralized cloud and AI services, the business value brought by OORT DataHub is particularly prominent. According to a report published by KBV Research, the global data labeling solutions and services market size is expected to reach $46.9 billion by 2030. However, for many SMEs and start-up teams, data is also a bottleneck for their development, and they lack the means to collect sufficient, compliant, and high-value data, and it is difficult to maintain a large data annotation team. At the same time, the world is also facing a data scarcity, as recently revealed by the journal Nature, where AI could run out of training data within 4 years. There is an urgent need for more scenario-based and diverse data in all fields.
OORT DataHub combines blockchain with incentives to make it easy for individuals or small organizations to contribute, annotate, and share data on an all-in-one platform. This not only effectively replenishes data sources for enterprises and research institutions, but also enables data contributors to obtain reasonable and stable returns through the native token. Compared with the traditional centralized model, the biggest advantage of decentralized data collection is to mobilize global user groups, which can not only quickly include raw materials from different languages, regions or industries, but also help standardize data ownership and revenue distribution, and reduce the risk of copyright and privacy disputes. At the same time, with the help of the low cost and convenience of crypto payment in cross-border micro-settlement, OORT DataHub can more effectively mobilize the enthusiasm of individuals around the world, no longer subject to regional and fiat currency system differences, so as to complete the "last piece of the puzzle" of the entire business map. Truly "Made by people, for people" – a large number of individuals and organizations contribute data, computing power, and resources to build AI, and the end result is for everyone.
!
As for the accuracy and transparency of data annotation, OORT leverages its high-performance Layer-1 blockchain Olympus Protocol to enhance it. Olympus Protocol connects global devices in the OORT network, including public and private clouds, smartphones, and computers. Its patented Proof of Honesty (PoH) consensus algorithm ensures that all nodes operate honestly and optimizes resource allocation in a decentralized manner. In simple terms, the operation principle of the PoH algorithm is that the data sets submitted by global contributors will be randomly distributed to other contributors to verify and validate the data quality. If the audit is passed, the data submitter will receive corresponding reward points; if the data is non-compliant or does not meet the standards, there will be penalties or deductions.
Conclusion
After discussing the product layout, business cooperation, and underlying logic of the Olympus protocol, let's also go back to the name itself to trace the original intention behind the brand: According to astronomical theory, even if civilization progresses to unimaginable heights, humans may still not be able to truly cross the solar system surrounded by the Oort Cloud. And such a vast galaxy, which is insignificant in the vast universe for us. Because of this, the brand name OORT also carries the team's thoughts on the cognitive boundaries of humanity: even if we are small and may never break through that 'distant cloud layer', we must carry awe and enthusiasm, constantly pushing the limits of science and invention, and do our best to promote the advancement of civilization.
The content is for reference only, not a solicitation or offer. No investment, tax, or legal advice provided. See Disclaimer for more risks disclosure.
From the classroom to commercialization, how will OORT build an integrated decentralized AI ecosystem
On December 1, 2022, OpenAI released ChatGPT, igniting global follow on AI. ChatGPT attracted 1 million users to register in 5 days, and surpassed 100 million in 2 months, becoming one of the fastest rising applications in the history of internet development in nearly 20 years.
However, the 'rapid rise' of centralized AI models does not mean that there are no concerns. First of all, traditional centralized AI models often have extremely large data collection and processing systems, but it is difficult for outsiders to know clearly how these data are collected, stored, annotated, and ultimately used for model training. The opacity of the data layer raises questions about personal privacy protection and data security.
TIME has reported that during the ChatGPT training process, OpenAI hired Kenyan outsourced employees to process a large amount of text involving sensitive content, and these low-paid workers were under tremendous mental stress due to long-term exposure to high-intensity psychological stimulation. Secondly, OpenAI, as the focus of the industry, has also encountered a series of problems recently: there is news that it has once again disbanded the security-related team AGI Readiness, and the frequent departure of core executives has caused shocks in the industry. People are beginning to question whether OpenAI's rapid expansion and commercialization really balance the importance of technical safety and ethics. What's more worth following is that the core data and computing power of the AI industry are gradually concentrating on a few giant companies, and the public and entrepreneurs are worried about the monopoly and unfair competition that may be caused by this "big data + large companies" pattern. By mastering massive amounts of data, these companies not only consolidate their control over technology and markets, but also further increase the barriers to innovation for small and medium-sized businesses and individual developers.
At the same time, the combination of blockchain and AI is becoming increasingly popular. However, with the rise of this trend, there are also more and more short-term speculators, and many blockchain projects are starting to gain followers by exploiting the concept of AI. Even some Meme projects have jumped on the AI bandwagon, attempting to disguise themselves using AI.
As a simple AI chatbot, relying on daily shitposts has gained tens of millions or even billions of market value, and when it plummeted by more than 90% in the insider Pump and Dump, the entire market obviously paid more attention to short-term market effects rather than long-term technological development, and truly down-to-earth projects were ignored.
How to pick out AI blockchain projects with real potential has become an urgent question that needs to be answered.
When we invest in AI blockchain projects, it is necessary to clearly understand that the combination of AI and blockchain is not a simple technical overlay, but an innovation that solves real-world problems within the decentralized framework of blockchain, rather than just an AI label on the project. As a leading decentralized AI (DeAI) project, OORT launched the OORT DataHub Business Edition on December 11th, addressing pain points such as global data scarcity in AI training, centralized AI data collection and processing opacity, and lack of data diversity, providing reliable decentralized solutions for enterprises, developers, and researchers.
OORT has also launched the OORT DataHub Mini App, which allows users to easily contribute data and participate in decentralized data collection, as well as expand the OORT ecosystem and increase user engagement by launching this application on the Telegram platform.
Originated from real needs in the classroom entrepreneurship
To understand OORT, you first need to understand its unique founding background.
The reason for the birth of OORT is not because of the heat of the blockchain industry, nor is it intentionally labeled as 'Web3' for cloud services. The initial motivation comes from the 'real demand' faced by Dr. Li when he lectured on AI reinforcement learning courses at Columbia University in 2018: students need to complete AI agent training projects, but they are difficult to support due to the high cost of traditional cloud services (such as Amazon and Google). In order to help students afford computing power, Dr. Li came up with the idea of using blockchain incentive layer to build decentralized cloud resources.
As the project moves from the classroom to commercial use, Dr. Li further realizes that AI training and data collection face common challenges in real-world scenarios such as high costs, high barriers, and data bias. To achieve truly global data collection and allow participants from around the world to voluntarily contribute computing power and data, it is necessary to solve problems such as cross-border payments, credit endorsements, and revenue distribution. Cryptocurrency payments are naturally suitable for small, cross-border, high-frequency settlements, which happen to fill a key gap in this business model. Unlike many projects that forcibly combine the concepts of 'blockchain + AI' to chase after hot money, OORT's positioning emphasizes real-world needs: by using decentralized cloud services and fair and transparent incentive mechanisms, it reduces the cost of data and computing power in the AI development process, aligns with traditional industries in a more commercially-oriented manner, and truly leverages the advantages of decentralization and cryptocurrency payments.
The technical accumulation of OORT is remarkable. In addition to being an adjunct professor at Columbia University, Dr. Li is also the co-founder of Nakamoto & Turing Labs Inc. and a venture partner at the seed-stage accelerator Aves Lair. He has published several articles on blockchain and AI in Forbes. Previously, he worked in the research department of Qualcomm, specializing in 4G LTE and 5G system design. In the academic field, Dr. Li is a senior member of IEEE and holds over 200 international and US patents (granted and pending), as well as published multiple academic papers in top journals including Proceedings of the IEEE, IEEE Transactions on Information Theory, IEEE Communications Magazine, and Automatica. He also serves as a reviewer and technical program committee member for several top journals and conferences in the field of communication and control.
OORT has also received capital favor, currently a total of $10 million in financing, investment institutions including Taisu Venture, Red Beard Venture, Sanctor Capital, and also received support from Google and Microsoft.
Products and ecology are the AI moat
Eighteen years ago, NVIDIA laid out CUDA, invested and operated continuously, in exchange for the moat of AI gold shovel. From this point, we can also see that the real AI moat must not be a stack of concepts, but a solid product and ecological layout. OORT builds a self-consistent 'cloud service ecology' around computing power, storage, and data, which is the key to supporting DeAI.
!
According to the official documentation, the core idea of OORT is to provide developers with decentralized, low-cost, and highly flexible AI resources, as well as the necessary components. In terms of specific product forms, the team divides the entire project into multiple functional modules and iterative stages. From the roadmap, OORT plans to release the storage layer, data management layer, and computing power layer in steps, and integrate them into a complete DeAI infrastructure ecosystem, allowing various AI applications and regular internet applications to be "plug and play".
Storage: OORT Storage
Among all cloud resources, storage is often the most fundamental and important component. The first flagship product promoted by OORT is OORT Storage, a decentralized distributed storage system that allows users to encrypt and store their data, models, or related files in fragmented form on global nodes. Through blockchain incentive mechanisms, distributed nodes can assist users in achieving reliable data storage and retrieval.
Compared with traditional centralized storage services, OORT Storage emphasizes privacy and flexibility. By using OORT Storage, users can use storage services more flexibly and efficiently, reduce costs, and improve the fit between configuration and demand. For AI applications that want to connect multiple chains or scenarios, OORT Storage may provide a more controllable and flexible infrastructure path. Even for L2, OORT Storage also provides DA layer services.
Data: OORT DataHub
On top of storage, OORT also provides a 'Data Management Layer' called OORT DataHub for users, developers, and data users. This part not only helps users efficiently manage datasets, set flexible access permissions and usage policies, but also supports richer permission management and contract-based data trading and collaboration. It is worth noting that the commercial version of OORT DataHub was officially launched on December 11th and has also been listed on the Shenzhen Data Exchange, becoming the industry's first decentralized data collection and annotation platform.
Compared with traditional data management platforms, OORT DataHub allows users, developers, or enterprises to share and annotate data sets with confidence through blockchain as an incentive and identity verification layer, while also specifying ownership and revenue distribution methods at the contract level.
Simply put, OORT DataHub solves the pain points of data management platforms. First, it makes annotated data transparent and tamper-proof through the inherent characteristics of blockchain, solving the black box problem of AI data collection. More importantly, it enables micro-payments through cryptocurrencies, which not only have extremely low costs but also can be transferred without borders. This creates natural convenience for small data providers and provides technical support for global data access, which is impossible under the traditional financial system.
Recently, the official has announced the launch of a new OORT DataHub Mini App on Telegram Mini App, enabling more users to easily contribute data and collect decentralized data in a familiar social environment. Through Telegram's global user base, the coverage of the OORT ecosystem is further expanded, providing more convenient access for individuals or teams from different backgrounds. With this user-friendly approach, both new and existing users can directly participate in data contribution and collaboration within the messaging app, bringing more possibilities for the development of decentralized AI.
Computing Power: OORT Compute
The further roadmap is that after DataHub, OORT will launch OORT Compute, which means that in addition to storage and data management, decentralized computing power will also be integrated into the system, allowing developers to complete training, inference, and other high-computing power requirements in the same ecosystem. OORT will form an ecological closed loop with the three core functions of "storage + data management + computing", providing one-stop support for the landing of AI, and also paving the way for decentralized cloud services in more commercial fields.
The commercialization road of OORT
A successful AI project relies not only on its innovative technology, but also on the ability to transform these technologies into commercial value. Just like the cooperation between OORT AI and iFLYTEK (a subsidiary of Lenovo Group). The two parties announced a three-year renewal recently.
OORT AI uses generative AI technology to provide a customized platform that creates precise and secure AI agents using private data, offering multi-mode outputs such as images. Lenovo integrated the OORT AI solution into its existing customer service application and uploaded service documents to OORT AI, successfully creating dedicated AI customer service agents. These agents effectively address user issues through AI, with human intervention only when necessary, thereby enhancing the overall responsiveness and efficiency of customer service experience.
According to feedback from previous collaborations, OORT has reduced the cost of enterprise customer service for Zhixiang by about 40%, and customer satisfaction has increased to 95%.
The good performance of the OORT AI solution is due to the three core product lines provided by OORT for enterprise and individual customers, including the launched OORT Storeage, OORT DataHub (B2C, B2B), and the upcoming OORT Compute mentioned above.
At the storage level, OORT collaborates with BNB Greenfield to leverage the extensive infrastructure of over 30,000 nodes worldwide to support BNB Greenfield, enhancing the outstanding storage capacity of BNB Chain and ensuring privacy and cost efficiency. OORT also participates in Dell's innovative loyalty program launched in markets such as Canada, the United States, and Japan. Oort provides Dell customers with decentralized storage services, including data storage and data migration, bridging the gap between web2 and web3 in terms of data services, allowing users to securely store, migrate, and retrieve data anytime, anywhere.
In the process of comprehensively deploying decentralized cloud and AI services, the business value brought by OORT DataHub is particularly prominent. According to a report published by KBV Research, the global data labeling solutions and services market size is expected to reach $46.9 billion by 2030. However, for many SMEs and start-up teams, data is also a bottleneck for their development, and they lack the means to collect sufficient, compliant, and high-value data, and it is difficult to maintain a large data annotation team. At the same time, the world is also facing a data scarcity, as recently revealed by the journal Nature, where AI could run out of training data within 4 years. There is an urgent need for more scenario-based and diverse data in all fields.
OORT DataHub combines blockchain with incentives to make it easy for individuals or small organizations to contribute, annotate, and share data on an all-in-one platform. This not only effectively replenishes data sources for enterprises and research institutions, but also enables data contributors to obtain reasonable and stable returns through the native token. Compared with the traditional centralized model, the biggest advantage of decentralized data collection is to mobilize global user groups, which can not only quickly include raw materials from different languages, regions or industries, but also help standardize data ownership and revenue distribution, and reduce the risk of copyright and privacy disputes. At the same time, with the help of the low cost and convenience of crypto payment in cross-border micro-settlement, OORT DataHub can more effectively mobilize the enthusiasm of individuals around the world, no longer subject to regional and fiat currency system differences, so as to complete the "last piece of the puzzle" of the entire business map. Truly "Made by people, for people" – a large number of individuals and organizations contribute data, computing power, and resources to build AI, and the end result is for everyone.
!
As for the accuracy and transparency of data annotation, OORT leverages its high-performance Layer-1 blockchain Olympus Protocol to enhance it. Olympus Protocol connects global devices in the OORT network, including public and private clouds, smartphones, and computers. Its patented Proof of Honesty (PoH) consensus algorithm ensures that all nodes operate honestly and optimizes resource allocation in a decentralized manner. In simple terms, the operation principle of the PoH algorithm is that the data sets submitted by global contributors will be randomly distributed to other contributors to verify and validate the data quality. If the audit is passed, the data submitter will receive corresponding reward points; if the data is non-compliant or does not meet the standards, there will be penalties or deductions.
Conclusion
After discussing the product layout, business cooperation, and underlying logic of the Olympus protocol, let's also go back to the name itself to trace the original intention behind the brand: According to astronomical theory, even if civilization progresses to unimaginable heights, humans may still not be able to truly cross the solar system surrounded by the Oort Cloud. And such a vast galaxy, which is insignificant in the vast universe for us. Because of this, the brand name OORT also carries the team's thoughts on the cognitive boundaries of humanity: even if we are small and may never break through that 'distant cloud layer', we must carry awe and enthusiasm, constantly pushing the limits of science and invention, and do our best to promote the advancement of civilization.
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