Ageback
Tilda designed and engineered the AI Healthboard® of Ageback, integrating epigenetic biomarkers, DNA sequencing, blood analysis, and lifestyle data to provide personalized health protocols and custom longevity supplement formulations.
Project Overview & Objectives
Ageback is a cutting-edge clinical platform designed to bridge longevity medicine and real-world health protocols. The complexity of age-management protocols stems from the massive variety of datasets involved—epigenetic biomarker values, DNA sequencing matrices, hormone blood panels, and live wearable telemetry. Analyzing these data points manually to prescribe personalized longevity supplement dosing and health regimens is highly inefficient. Tilda engineered the AI Healthboard® to aggregate and standardize this multi-omic health data. Utilizing a clinical-grade PyTorch reasoning framework, the platform generates real-time longevity routines, custom supplement dosing, and interactive health trajectory charts, all within a fully HIPAA-compliant environment that lets patients securely share their health milestones with medical providers.
Core Tech Stack
- FastAPI
- PyTorch AI
- React
- Biomarker RAG
- HIPAA Cryptography
The Challenge
Longevity medicine and age management require tracking highly complex, heterogeneous datasets (DNA sequencing, epigenetic biomarkers, blood panels, hormones, and wearables). For clinicians and patients alike, interpreting these datasets to prescribe personalized, real-time supplements and health protocols is slow, error-prone, and lacks centralized software visualization.
Our Solution
Tilda engineered the AI Healthboard®, a central longevity operating system. The platform aggregates multi-omic health data and parses it through a clinical-grade AI inference engine. The system generates real-time longevity protocols, custom supplement formulations, and predictive health trajectory charts while maintaining strict HIPAA compliance and secure patient-doctor data sharing.
Interactive Device Preview
Data Flow & Pipeline Architecture
A technical overview of how data is ingested, processed, and routed through the system.
Data Aggregation
Ingests raw DNA sequences, blood panels, hormones, and wearable telemetry into a standardized database.
PyTorch Medical AI
Processes multi-omic parameters through clinical models to calculate biological age indices.
Custom Formulation
Generates precise daily supplement dosing formulas and dynamic health lifestyle protocols.
Development & Delivery Timeline
Key phases of the development sprint from initial database design to production rollout.
Multi-Omic Database Setup
Building secure PostgreSQL tables with row-level security (RLS) to parse DNA and biomarker schemas.
AI Inference Engine & Trajectory Charts
Implementing PyTorch-based longevity models and developing interactive d3.js charts.
HIPAA Encryption & Patient Portal
Deploying end-to-end AES-256 encryption keys and completing third-party security audits.
Sandboxing & Security Framework
Every digital product we engineer complies with modern security frameworks and operating system boundaries.
Multi-Omic Data Aggregator
Ingests and standardizes DNA sequences, blood profiles, hormone panels, and wearable telemetry.
AI Protocol Builder
Clinical-grade rule engines and machine learning models generating custom dosing and lifestyle routines.
End-to-End Cryptography
Secures protected health information (PHI) at-rest and in-transit with AES-256 and TLS 1.3 encryption.