Manul is a personalized health platform that combines full exome DNA sequencing with continuous lifestyle data from wearables to generate tailored nutrition, fitness, and recovery recommendations. The platform uses AI to analyze millions of genetic and behavioral data points, delivering evidence-based guidance rooted in the latest scientific research. All biological data is protected with AES-256 encryption and de-identified processing, ensuring users maintain full ownership of their genetic information.
Funding
Funding not disclosed
Founders
Product
Problem
Most people operate their bodies through trial and error, guessing at which foods, workouts, and recovery practices work best for their unique biology. Generic health advice fails to account for individual genetic predispositions and daily lifestyle variations, leaving users without a reliable, personalized framework for optimizing their physical well-being.
Solution
Manul creates a digital personalized manual for the human body by combining full exome DNA sequencing with continuous lifestyle data from wearable devices. The platform processes millions of data points from genetic code and daily habits to generate a unique health blueprint covering nutritional needs, fitness responses, and recovery rates. Seamless integration with Apple Health, Google Fit, and Oura Ring allows recommendations to dynamically adjust based on real-time sleep and stress metrics. Manul continuously scans global biological databases and the latest scientific papers to ensure all advice is evidence-based and rooted in current research. The platform separates genetic data from personal identity during analysis, ensuring privacy while delivering actionable, biology-specific guidance.
Target Audience
Primary users are health-conscious individuals seeking personalized, data-driven guidance for nutrition, fitness, and recovery, as well as wellness enthusiasts who already use wearable devices and want to optimize their health based on their unique genetic profile.
Features
- Full exome DNA sequencing to reveal predispositions for nutritional needs, fitness responses, and recovery rates
- Live integration with Apple Health, Google Fit, and Oura Ring for real-time adjustment of recommendations based on sleep and stress data
- AI-powered recommendation engine that processes millions of genetic and behavioral data points
- Direct integration with global biological repositories including GenBank and ClinVar for comprehensive genomic interpretation
- AES-256 end-to-end encryption for all data at rest and in transit
- De-identified processing that separates genetic data from personal identity during analysis
- GDPR and HIPAA compliant data handling protocols