AI-POWERED HEALTH INTELLIGENCE

Your Health Data, AI Interpreted

AI platform that aggregates biometric data from Apple Watch and iPhone, cross-references with 50,000+ medical publications, and delivers evidence-based health insights.

Daily Health Summary

Heart Rate
72
bpm
HRV
48
ms (SDNN)
SpO2
98
%
Deep Sleep
1.8
hours
All vitals within healthy range
15+
Biometric Data Types
50K+
Indexed Publications
<5min
Analysis Latency
24/7
Continuous Monitoring

Intelligent Health Monitoring

From raw Apple HealthKit data to actionable, evidence-based health insights powered by RAG and medical AI.

Apple HealthKit Integration

Continuous collection of HRV, SpO2, heart rate, sleep phases, steps, VO2max, and more via native iOS APIs.

LLM RAG Pipeline

Retrieval-Augmented Generation indexing PubMed, Cochrane Library, and WHO guidelines for contextual, evidence-based recommendations.

AI Deep Research

Automated search and synthesis of relevant clinical studies and meta-analyses based on individual biometric patterns.

Personalized Reports

Clear health reports with direct references to primary scientific sources, generated from your unique biometric profile.

Anomaly Detection

Real-time detection of anomalies in biometric patterns with alerts for significant deviations from personal baselines.

iCloud Sync

Secure transfer and storage of health records with end-to-end encryption across all Apple devices.

Modular Processing Pipeline

Five-layer architecture from data ingestion to actionable health insights.

Data Ingestion

Apple HealthKit API, iCloud sync, validation

Processing

ETL pipeline, time-series normalization, anomaly detection

RAG Engine

Vector DB, semantic search, 50K+ publications

Inference

FastAPI backend, async processing, LLM orchestration

Presentation

Web dashboard, PDF reports, notifications

Evidence-Based Approach

Built on validated scientific methodologies and peer-reviewed research.

Wearable Health Monitoring

Consumer wearables have demonstrated clinical relevance in detection of atrial fibrillation and sleep disorders.

Perez et al., NEJM 2019

AI Clinical Decision Support

ML-based clinical decision support systems achieve comparable accuracy with specialists in biometric data interpretation.

Topol, Nature Medicine 2019

HRV as Biomarker

Heart rate variability is a validated indicator of autonomic nervous regulation, stress, and cardiovascular risk.

Shaffer & Ginsberg, Frontiers in Public Health 2017

RAG for Medical Applications

Retrieval-Augmented Generation significantly reduces LLM hallucinations in medical recommendations and enables direct source citation.

Lewis et al., NeurIPS 2020

Modern Health-Tech Infrastructure

Python Apple HealthKit API iCloud LLM RAG Pipeline FastAPI Vector Database PubMed API SwiftUI Docker Cochrane Library

Transform health data into actionable insights

Contact BIT Technology for a custom HealthAI deployment for your organization.

Get in Touch
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BIT Technology s.r.o.

Trstínska cesta 9, 917 01 Trnava
Slovenská republika

IČO: 50 627 228
DIČ: 2120398973
IČ DPH: SK2120398973

bittechnology.bemooore.com

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