THE FIRST DECENTRALIZED
AI-POWERED HEALTH DATA PLATFORM.
What is DNAi?
DNAi is the first decentralized, AI-native health data platform designed to fundamentally transform how health data is managed, utilized, and valued.
By leveraging autonomous AI Agents, DNAi enables secure user uploads, intelligent data interpretation, and real-world participation in scientific research — all within a privacy-preserving, user-governed framework.
Unlike traditional platforms that silo and monetize data behind closed doors, DNAi empowers individuals to regain control, gain insight, and benefit from the value their data creates.
Innovative Health Solutions for Every Need
From sleep and fitness to family health and longevity — DNAi’s ecosystem of intelligent mini apps is built to serve every need, with more to come.
SleepAI, FitPulse, AnxietyAid, Family Hub, Genetic Health, Myopia Care, Longevity...
Core Capabilities
AI-Powered Health Agent
Provides real-time, personalized interpretation of genetic risks, diagnostic results, and longitudinal trends through natural language interaction.
Unified Health Data Dashboard
Integrates genomic reports, medical documents, and wearable device metrics into a cohesive interface for comprehensive health monitoring.
Wearable Device Integration
Supports synchronization with mainstream health tracking systems, including HealthKit, smart watches and wearable medical devices, for continuous data acquisition and analysis.
Privacy-Centric Architecture
Adopts full-stack encryption, zero-knowledge machine learning (zkML), and on-chain access control to ensure data sovereignty and regulatory compliance (GDPR/HIPAA).
Engagement & Insight Mechanisms
Encourages active participation through health upload streaks, milestone achievements, and AI-generated feedback loops.
Expanding Mini App Ecosystem
Hosts a suite of modular applications—including SleepAI, AnxietyAid, and FitPulse—each tailored to address distinct health scenarios with intelligent precision.
Scientific Basis, Scalable Impact
DNAi is built upon a robust AI agent architecture that supports multimodal health data processing—including OCR/NLP, time-series analysis, and medical ontologies.
It is designed to serve both individual users and institutional partners (e.g., research, clinical, and wellness sectors), offering scalable, privacy-preserving access to high-quality health data analytics.
