Predict.fit is a muscle-health and biological-age platform that measures structural aging through proprietary Bio-AgeClocks™, including MuscleAGE™ and LegAGE™, using blood biomarkers and body composition analysis. The platform provides a personalized protocol covering training, nutrition, and supplementation based on a 45-biomarker panel and specialist review. Users receive their biological age across six physiological systems within 48 hours of an at-home blood draw and body composition assessment.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional healthcare measures disease only after it has already manifested, leaving chronic conditions undetected until functional decline becomes apparent. Muscle decline—a leading predictor of cardiovascular risk, metabolic dysfunction, bone fragility, and cognitive decline—goes unmonitored because standard screening starts decades too late, such as bone density tests beginning at age 65 when bone decline starts at 45.
Solution
Predict.fit provides a muscle-first diagnostics platform that measures biological age through proprietary Bio-AgeClocks™, which decode hidden signals in blood to quantify structural aging years before symptoms appear. The service begins with an at-home visit from a certified phlebotomist who collects a 45-biomarker blood panel and performs a body composition assessment, with results delivered within 48 hours via a dashboard that scores biological age across six physiological systems. Six specialists then review the results and build a personalized protocol covering training, nutrition, and supplementation based on the individual's exact biomarker profile. The platform also includes an AI-powered question-and-answer interface that interprets biomarker trends and explains how lifestyle changes affect muscle age and overall health.
Target Audience
Primary customers are health-conscious individuals and longevity enthusiasts seeking early detection of age-related decline, as well as athletes and executives who want quantified biological age data to optimize training, nutrition, and long-term health outcomes.
Features
- Proprietary multidomain Bio-AgeClocks™ algorithm built on 30,000+ clinical data points, with a patent filed and validation through peer-reviewed research
- Comprehensive 45-biomarker blood panel analyzed alongside muscle imaging scans to read muscle health through blood
- Biological age scoring across six physiological systems: cardiovascular, metabolic, bone and joint, cognitive, muscle, and vascular
- At-home sample collection by certified phlebotomists eliminating clinic visits
- Six-specialist review protocol generating individualized training, nutrition, and supplementation recommendations rather than template-based advice
- Interactive AI question-and-answer system that tracks biomarker trends and explains biological changes in plain language
- Dedicated Age Clock assessments including MuscleAGE™, OrthoAGE™, and LegAGE™ for targeted structural aging measurement