The air interaction project secured 30 million yuan in Series A financing
The AI Agent of the remote interaction project solves the problems of sports, health, and learning and is seeking financing
I. R & D Background
In the era of artificial intelligence and the Internet digital economy, we are increasingly dependent on electronic products, such as computers, mobile phones, and other mobile electronic devices. Nowadays, whether it's children, young people, or the elderly, they are all addicted to short - video browsing and gaming. Frequently using mobile phones or playing games brings many harms to the body. For example, it can cause adverse physical consequences for teenagers in their physical development stage, such as slouching and myopia. Currently, there are more than 700 million myopic people in China, and there are over 350 million global depression patients, with about 95 million in China. Among the adolescent group, patients under 18 account for 30.28% of the total. At present, the number of primary and secondary school students with scoliosis in China has exceeded 5 million, and it is increasing at a rate of about 300,000 per year. Scoliosis has become the third - largest disease endangering the health of Chinese children and adolescents after obesity and myopia. A survey by the China Youth and Children Research Center shows that more than 70% of children have varying degrees of school - weariness psychology. According to the latest statistics from "China's Health Big Data", more than 75% of the Chinese population is in a sub - healthy state. Each set of figures is shocking.
II. The AI Agent of Remote Interaction Solves the Problems of Sports, Health, and Learning
In the wave of the digital transformation era, Dadi Kevin takes the lead in leading the industry transformation. The company deeply integrates the theory of brain neural plasticity and the theory of multiple - intelligence education, and innovatively creates a new model of "multi - modal interaction + education" - deeply binding multi - sensory experiences such as sports, vision, hearing, physical fitness, music, touch, and multi - person interaction with educational scenarios to build an immersive learning ecosystem.
At the technical R & D level, Dadi Kevin focuses on the field of artificial intelligence games. Relying on virtual engine technology and game large - model training capabilities, it independently develops the industry's first "Remote Interaction AI Agent System" to solve the collaborative problems of sports, health, and learning. This system deeply integrates AR augmented reality and somatosensory interaction technology. Through immersive real - time dynamic remote interaction, it completely subverts the traditional "passive screen social" model and transforms it into a new form of "active physical participation". Users can complete interactions only through body movements without touching the device. During natural sports, it stimulates the activity of the cerebral cortex and precisely regulates the secretion and coordination of neurotransmitters dopamine and endorphins, realizing the dual values of "sports promoting health and sports empowering learning".
III. Interactive Content Design and Technical Implementation of the Remote Interaction AI Agent
The interactive content is presented in a three - dimensional and intuitive teaching content and teaching method. Using AR and human - computer interaction technology, it enables children, young people, and the elderly to learn and exercise in an immersive, interactive, and participatory way, fully mobilizing their learning enthusiasm. Gamified teaching greatly enhances children's learning willingness, stimulates learning interest, and improves learning effects. At the same time, it can enhance the motivation of children, young people, and the elderly to exercise, achieving the effect of strengthening the body.
We are different from traditional AI agents based on large models and high hardware costs, and also different from the defunct AI traditional Chinese medicine company Eagle Eye Intelligent Agent. We collect and feedback each person's data interaction to the AI agent for health analysis and then provide a set of healthy sports solutions for users to experience. Users can exercise based on this set of sports programs to improve their physical health status.
The development of children's sports and motor abilities can directly reflect the development of their intelligence. We often see that children with low intelligence often have slow movements and their motor abilities lag behind those of ordinary children. That is to say, motor development is one of the early manifestations of intellectual development. Based on the theory of brain neural plasticity, the theory of multiple - intelligence education, and the combination of multi - modal interaction (sports, vision, hearing, physical fitness, music, touch, multi - person interaction) with the education model, sports stimulate the cerebral cortex and at the same time stimulate the secretion and coordination of neurotransmitters dopamine and endorphins in the human body. Increasing the release of dopamine promotes the healthy development of brain neurons, making children smarter and healthier.
Dadi Kevin adopts the innovative model of "learning while exercising", allowing children to complete learning in happy interactions, simultaneously exercising their bodies and enhancing their resistance. The product relies on AI intelligent agent technology, accurately captures and records each child's learning state throughout the process through big data. It can generate physical health indexes, IQ traits, and personality analysis by combining multi - dimensional data such as learning duration and body movements, and can also predict the suitable career directions for children. Finally, it outputs customized learning programs, truly implementing individualized teaching. The whole course design is progressive, allowing children to complete knowledge absorption and ability growth imperceptibly.
IV. Company Introduction
The core team of Dadi Kevin brings together top - notch technical talents across multiple fields, covering AR/MR, AI, optics, neuroscience, and other cutting - edge directions. The team includes Dr. Wu Qizheng, a senior neuroscience technology expert from the American neuro - digital field, who has been deeply involved in the research of brain neural development and plasticity for more than 40 years, led multiple technology projects related to brain development, and has in - depth academic research and technical accumulation on the development of brain neurons stimulated by sports. It also includes a full - stack technical leader with 18 years of software development experience. The founder, Liao Kaiwen, is a full - stack technical and all - around talent. He led the team to independently complete the core development of all products from the establishment of the company. He also has rich experience in big data operation and analysis and can continuously optimize the product algorithm based on a large amount of children's learning data. In addition, there are members of a doctoral team from Harvard, who are specifically responsible for the R & D and guidance of artificial intelligence brain - control technology, providing professional support for the neuroscience application direction of the product. The whole team combines the capabilities of technical R & D and educational scientific research, providing a solid professional foundation for the implementation of the product of the AI Agent of the remote interaction project to solve the problems of sports, health, and learning. At the same time, the company has a forward - looking layout in the field of AI human - brain simulation and has developed the "Human - Brain Self - Awareness Operating System", realizing the precise dimensional - reduction application of cutting - edge technology in all scenarios.
V. Commercialization Progress and Financing Plan
The business model of the AI Agent of the remote interaction project is divided into three layers. The first layer is to develop the AI + AR human - computer interaction engine. It is a customized deployment of the AI Agent of the remote interaction project combined with the APP for schools, families, research institutions, and enterprises, charging by project or content.
The second layer is to provide hosting APIs and SDKs for developers, charging by token consumption and annual fees.
The third layer is the Token plan and APP content charging for end - users, which is consistent with the consumer - end models of providers such as OpenAI and Anthropic. The three - layer business model shares the same structural advantage - since the Agent model parameters of the AI Agent of the remote interaction project are much smaller than those of general large models, it is a personalized agent, different from general AI agents, and is more attractive in the future meta - universe digital planet.
Currently, the first - layer business has made substantial progress. The ToB project of the AI Agent of the remote interaction project is in progress, and there are more than 30,000 registered ToC users. The operation of the Remote Interaction AI Agent platform is media - oriented, based on gamified social interaction, and has a layout that combines big health, education, and entertainment. It makes the AI Agent platform an AR media with high attention, high conversion rate, accurate dissemination, and strong interactivity, and creates a new - generation AI + AR intelligent and interesting interactive remote AI Agent platform with the theme of combining intelligent entertainment, smart cities, and smart medical care. The platform realizes monetization through content and generates revenue through traffic.
The current seed - round financing plan is 30 million RMB, with 10% equity for sale, and the post - investment valuation is 300 million RMB. The funds will be mainly used for product promotion, GPU computing power investment for the training of the base Agent model, the delivery of ongoing vertical projects, the deployment of developer API infrastructure, and the expansion of the core team. The milestones at the end of this round include: completing 2 million user registrations, iterating and completing the content for primary schools, 10 interactive contents for young people, and 10 contents for the elderly; completing and releasing the training of the base Agent model; covering 200 charity schools for free; delivering projects to 500 schools and completing payments; launching the developer API and SDK and connecting the first batch of paying users; and establishing the product pipeline for the next vertical field.