Maddie BioGenetics provides physician-referred, multi-omic diagnostics to decode the gut-brain axis for neurodiverse populations. Their SUTRA™ Intelligence Engine creates bio-digital twins using global genomic and longitudinal data to simulate treatments _in silico_. This process delivers personalized care pathways and ranked intervention recommendations based on predicted biological success.
Funding
Funding not disclosed
Founders
Product
Problem
Many individuals lack access to affordable and comprehensive genetic testing, hindering their ability to understand their predispositions to certain diseases and make informed healthcare decisions. Traditional genetic testing methods can be expensive and may not provide a complete picture of an individual's genetic makeup.
Solution
MaddieBio offers whole genome sequencing and AI-driven analysis to provide individuals with personalized insights into their genetic predispositions, health risks, and potential responses to medications. By analyzing a person's entire genome, MaddieBio identifies key biomarkers and disease risks, empowering individuals to make proactive decisions about their health and wellness. The company's AI systems analyze genetic data to provide actionable steps tailored to an individual's unique genetic profile, accessible through a user-friendly mobile app. MaddieBio aims to translate genetic findings into personalized health solutions, enabling better health outcomes through genetics-based, personalized care.
Target Audience
MaddieBio's primary customers are individuals seeking to understand their genetic predispositions and optimize their health through personalized insights, as well as researchers looking to leverage genomic data for drug discovery and personalized medicine.
Features
- Affordable whole genome sequencing testing to uncover genetic variants influencing health.
- AI-powered analysis of genetic data to identify key biomarkers and disease risks.
- Personalized health reports on genetic risks, carrier status, wellness traits, and nutrition.
- User-friendly mobile app for viewing reports, tracking goals, and receiving AI-generated insights.
- Integration of a Genomic Large Language Model (LLM) with advanced analytics and machine learning for research partners.