Since 2020, industries receiving significant attention and experiencing rapid growth have inevitably included healthcare and the Web3 sector. Healthcare is garnering attention from an economic potential standpoint, as it leverages IT technology and digital equipment to manage and improve the health of many individuals. Web3, on the other hand, attracts interest for its ability to harness users' voluntary participation through token incentives and to drive explosive service growth through transparent and decentralized operating methods. However, both healthcare and Web3 services have their respective limitations to consider.
In the case of healthcare, there is a lack of sustained incentive for users to continue using the service, particularly in terms of engagement and rewards. Offering significant rewards for health-related actions can lead to excessive costs for the service provider. Additionally, even if users improve their health through service usage, the effects may not be immediate, resulting in a lack of motivation for continued use. Many healthcare services struggle to accumulate large-scale health-related data, which is necessary to generate economic value from the data, due to the aforementioned issues.
In the case of Web3 services, while token incentives initially attract a large number of users and demonstrate explosive growth, many services rely heavily on liquidity provided by new users. As a result, when the influx of new users decreases, token prices may decline, leading to the collapse of intended incentive mechanisms in many projects.
H.AI aims to create an ecosystem that combines healthcare and Web3 to evolve into a reward-based healthcare data platform. By leveraging Web3 incentives, H.AI addresses the issues of engagement and rewards in traditional healthcare, while also tackling the sustainability concerns of Web3 through healthcare-based revenue streams. In the H.AI ecosystem, users can engage in various health-related activities and receive token rewards in return. While similar to existing X2E services in providing token rewards for specified activities, H.AI aims to transcend a simple rewards platform.
H.AI is designed to collect valuable information related to users' health, with the goal of offering personalized management and analysis results through AI-powered engines once a sufficient amount of data is gathered. This will enable the launch of various healthcare services that generate revenue from a healthcare perspective. The generated revenue will allow participants in the H.AI ecosystem to obtain greater rewards, such as token price increases, thereby creating a sustainable Web3 healthcare ecosystem.
The differentiating factors of H.AI compared to existing M2E services are as follows.
H.AI acquired the M2E dapp Tracer and will expand the H.AI ecosystem starting with M2E activities. In the second quarter of 2024, we will launch the H.AI ecosystem and HAI tokenomics based on Tracer, focusing on infrastructure development to onboard users engaging in various health activities. In the third quarter of 2024, mainnet selection and the TGE of the HAI token are scheduled, followed by onboarding various X2E activities such as sleep-to-earn, scan-to-earn, and eat-to-earn based on a variety of health activities in the fourth quarter of 2024. Based on this, in 2025, we plan to build a health data platform based on AI analysis results of collected data. The detailed roadmap is as follows, and we will promptly update you with any updates on the roadmap
24.Q1
24.Q2
24.Q3