Rejuve

Rejuve Company's AI platform represents a groundbreaking approach to personalized longevity solutions, combining advanced data analytics with cutting-edge blockchain technology. Through initiatives like their Ambassador Program and sophisticated research framework, the company is pioneering new methods for understanding and extending human healthspan. Join us as we explore how this innovative platform is transforming longevity research through AI-driven insights and community-powered data collection.

Ambassador Program and Community Development

The Ambassador Program, launched in 2024, has three key divisions: KOLs, Wellness Collective, and Medical Advisors. The Wellness Collective contributes content on Discord to engage the community, while Medical Advisors, including Drs. John Thompson Smith and Taylor Kuhn, focus on networking and recruitment.

Ambassador Program divisions:

• KOLs: Key Opinion Leaders engaged in content creation and community engagement

• Wellness Collective: Content creators providing valuable insights on Discord

• Medical Advisors: Network and recruit for the Clinicians division

The program's development plans include:

• Formal Clinicians division kickoff under Drs. Smith and Kuhn

• Beta Testers division launch for direct app team collaboration

• Community Developers division to support AI model development

• Governance group to manage data rewards and establish a DAO

These initiatives build upon the Ambassador Program's foundational work in community engagement and strategic partnerships.

Research and Data Infrastructure

Rejuve Company's research framework integrates multiple advanced technologies to build a robust foundation for longevity research. The company has developed a smart contract that will undergo a comprehensive audit before deployment, ensuring secure and transparent operations. Users can register for the company's dNFT (Decentralized Non-Fungible Token) system through a single KYC (Know Your Customer) process facilitated by a third-party provider, establishing a verified digital identity for each member.

The Longevity App serves as the primary data collection tool for the company's research initiatives. It allows users to submit health data from various sources including wearables, lab results, and surveys, earning RJV tokens in the process. The app's core functionality includes the Age Estimator AI, which utilizes 149 variables from the National Health and Nutrition Examination Survey (NHANES) dataset and operates through a multilayer perceptron (MLP) structure. This tool will transition to a fully AI-driven system in the coming months, incorporating additional biomarkers and real-world data through integration with long-term trend analysis models.

The company's research roadmap includes partnerships with leading genetics firms for omic data analysis, working with Sequencing.com, TruDiagnostic, and GlycanAge to integrate genomic and epigenetic data into their framework. This comprehensive approach addresses a major bottleneck in current longevity research by expanding the representativeness of available data while maintaining rigorous controls for scientific integrity.

To support these research goals, Rejuve has developed sophisticated AI models using Bayesian Networks and Variational Autoencoders. The Age Estimator demonstration version employs a simple Bayesian Network approach augmented with wearables data, while the launch-ready version incorporates a variational auto-encoder (VAE) for improved accuracy. These AI tools form the basis of the Generative Cooperative Network (GCN) system, which aims to crowdsource scientific insights while maintaining member privacy through the company's Proof of Human protocol instead of traditional KYC procedures.

Longevity App Features and Functionality

The Longevity App incorporates data from the National Health and Nutrition Examination Survey (NHANES) to determine biological age through its Age Estimator AI. This AI tool considers 149 variables from NHANES, including health factors like diet, exercise, and sleep, as well as aging signs such as reduced mobility. The app syncs data from wearables including FitBit, Garmin, Oura Ring, and Apple Watch to refine these insights and monitor health changes potentially related to aging. Users can also submit lab test results to improve the accuracy of their longevity assessment and contribute to broader patterns of aging research.

Upon data submission, users earn RJV tokens, which can be redeemed for discounts on health-related products and services. The app's AI system offers tailored health recommendations based on individual data inputs. Current AI models use a simple Bayesian Network approach augmented with wearables data, but are transitioning to a more sophisticated Variational Autoencoder (VAE) system. The Age Estimator tool is part of the Bayes Net V2 framework, which includes 286 biomarkers and three newly identified Hallmarks of Aging. While manual work is required to perfect this new version, data scientists confirm AI will not replace their roles but will enhance analytical capabilities.

Additional app features include a comprehensive health profile collection system that tracks user-reported data on factors like intermittent fasting, caloric restriction, mindfulness, and meditation. These personal metrics are integrated with blood biomarker analysis through partnerships with Sequencing.com, TruDiagnostic, and GlycanAge. The app's AI development roadmap includes expansion of long-term trend analysis through integration with language models and plans to offer more dynamic, individualized health insights based on real-world data.

The app's data framework includes a Proof of Human protocol for member verification instead of traditional KYC procedures, maintaining user privacy while ensuring data integrity. Rejuve's dNFT (Data NFT) system uniquely identifies network members and tracks data contributions, calculating RJV token rewards based on the impact of their contributions. This system prevents fraudulent activities like multiple account creation for additional rewards and ensures members maintain control over their data.

Tokenomics and Reward Systems

Rejuve's token economy centers around RJV tokens, which power various aspects of the platform's operations. A significant portion of the token supply—50%—is allocated to the Data Rewards Pool, designed to incentivize contributions to the company's research framework through the Generative Cooperative Network (GCN). This pool "unlocks" after a one-month period but tokens remain held until beta tester rewards or in-app promotions are activated, facilitating the building of a comprehensive scientific database.

Token Distribution and Management

The company has structured token distribution across multiple categories. After an initial Public Distribution at Token Generation Event (TGE), 30% of the tokens were allocated to strategic partnerships including SingularityNET and SingularityDAO. These partners manage distribution through three-month cliffs followed by 21-month vesting periods with daily claiming options. Team and advisor tokens also follow this cliff-vesting model, while incubating spin-off projects reserved 5% of their tokens for AGIX holders, distributing 50% via an airdrop portal and the remainder through the Longevity App.

Member Rewards and App Functionality

RJV tokens serve multiple purposes within the app ecosystem. Users can redeem them for discounts on health-related products and services, with future features including advanced AI algorithms and genomic data analysis. The app's dNFT system uniquely identifies members and tracks data contributions, calculating rewards based on contribution impact while preventing fraudulent activities through its Proof of Human protocol. Integration capabilities support Ethereum, Binance Smart Chain, and Cardano networks, with plans to enable seamless wallet connections for all blockchain users.

Research and Development Funding

The token economy directly supports the company's research initiatives by funding AI model development and data collection. The Ethereum and Cardano wallet integration system facilitates secure transaction processing, while partnerships with NOWPayments enable seamless cryptocurrency payments in healthcare through the app. Token proceeds also support the development of additional app features including medication logging, improved lab test functionality, and expanded language support based on user feedback from the public beta testing phase.

AI Development and Data Analysis

Bayesian Networks and Variational Autoencoders form the core of Rejuve's predictive AI models for aging research.

Age Estimator AI

The Age Estimator uses a two-stage approach. The current demonstration version employs a simplified Bayesian Network framework augmented with wearables data. For the launch-ready version, the company has developed a Variational Autoencoder system specifically calibrated on NHANES training data. This advanced model incorporates 286 biomarkers, including recently identified Hallmarks of Aging and select blood biomarkers such as inflammatory markers IL-6 and TNF-α.

Long-term Trend Analysis

While still in the public beta stage, the Age Estimator demonstrates promising accuracy in biological age prediction, particularly for users who contribute complete health profiles including survey responses, wearable data, and lab results. The Bayes Net V2 system forms the backbone of the app's healthspan insights, providing personalized recommendations based on individual metrics. Future developments include integration with language models to enable more sophisticated long-term trend analysis.

Research Integration

Rejuve collaborates with genetics firms including Sequencing.com, TruDiagnostic, and GlycanAge to integrate genomic and epigenetic data. This partnership allows the company to expand the representativeness of their data while maintaining rigorous scientific controls. The company's research framework also includes partnerships with SingularityNET and SingularityDAO, both of which play crucial roles in advancing AI research and development.

Development Process

Core development of the AI models is complete, with integration into the app's backend architecture underway. While the transition to the advanced VAE system demonstrates significant technical progress, the team emphasizes that manual calibration and refinement remain essential. This iterative approach ensures the accuracy of predictions while maintaining the interpretability of the AI models.

Future Directions

The company plans to expand the app's functionality through multiple avenues. This includes the integration of medication logging, improved lab test functionality, and expanded language support based on user feedback from the public beta testing phase. The research program aims to publish AI approaches in scientific literature while continuing to explore new opportunities that may evolve the company's approach to AI-driven longevity research.