Predictive Fitness
Predictive Fitness leverages comprehensive datasets, proprietary technologies, and AI-driven analytics to optimize health, fitness, and performance applications. Their solutions are designed for endurance athletes, general fitness enthusiasts, and stakeholders in military, healthcare, and wellness sectors, aiming to deliver better results in less time with fewer injuries through innovative, normalized, and personalized training methods.
Industries
Nr. of Employees
small (1-50)
Predictive Fitness
2600 E. Southlake Blvd. Suite 120-140, Southlake, Texas 76092
Products
nSight™ Intelligence Engine
A comprehensive dataset and technology suite that includes AI, machine learning, predictive modeling, and prescriptive analytics to provide strategic insights, impact analysis, and optimization for health, fitness, and performance applications.
Optimized Training
A process powered by the nSight™ Optimization Engine to generate the best performance improvement plan based on user biometrics, genetics, and environmental factors.
Data iQ™
A proprietary metric that quantifies the quality of data provided by users, impacting the accuracy of health, fitness, and performance optimization.
Physiogenomix™
Technology that uses DNA to determine an athlete’s training intensity response, aerobic potential, recovery rate, and injury predisposition for optimized training.
EnviroNorm®
Technology that accounts for environmental factors such as temperature, humidity, elevation, wind, and terrain to normalize training and racing data for accurate analysis and optimization.
Normalized Training Stress® (NTS™)
A method of quantifying the physiological stress from a training session by considering discipline type, environment, intensity distribution, intensity levels, and intensity durations.
nSight™ Intelligence Engine
A comprehensive dataset and technology suite that includes AI, machine learning, predictive modeling, and prescriptive analytics to provide strategic insights, impact analysis, and optimization for health, fitness, and performance applications.
Optimized Training
A process powered by the nSight™ Optimization Engine to generate the best performance improvement plan based on user biometrics, genetics, and environmental factors.
Data iQ™
A proprietary metric that quantifies the quality of data provided by users, impacting the accuracy of health, fitness, and performance optimization.
Physiogenomix™
Technology that uses DNA to determine an athlete’s training intensity response, aerobic potential, recovery rate, and injury predisposition for optimized training.
EnviroNorm®
Technology that accounts for environmental factors such as temperature, humidity, elevation, wind, and terrain to normalize training and racing data for accurate analysis and optimization.
Normalized Training Stress® (NTS™)
A method of quantifying the physiological stress from a training session by considering discipline type, environment, intensity distribution, intensity levels, and intensity durations.
Services
Cloud-hosted service that generates individualized season and session-level training plans using historical athlete data, ML models, and prescriptive analytics.
Service that localizes functional thresholds to race environments and projects optimal pacing and finish-time estimates using environment-normalization and simulation.
Analysis service that ingests consumer raw-genotype files and returns training-relevant genetic markers and parameters to be incorporated into individualized training prescriptions.
Analytic service that scores session, weekly, and multi-week training execution against prescribed individualized plans to quantify adherence and execution quality.
Operational integration layer for ingesting activity and biometric files from wearable devices and third-party platforms with validation of connection type and data fidelity.
Platform capabilities to host remote competitive events and virtual simulations that standardize and compare performances across disparate environments.
Cloud-hosted service that generates individualized season and session-level training plans using historical athlete data, ML models, and prescriptive analytics.
Service that localizes functional thresholds to race environments and projects optimal pacing and finish-time estimates using environment-normalization and simulation.
Analysis service that ingests consumer raw-genotype files and returns training-relevant genetic markers and parameters to be incorporated into individualized training prescriptions.
Analytic service that scores session, weekly, and multi-week training execution against prescribed individualized plans to quantify adherence and execution quality.
Operational integration layer for ingesting activity and biometric files from wearable devices and third-party platforms with validation of connection type and data fidelity.
Platform capabilities to host remote competitive events and virtual simulations that standardize and compare performances across disparate environments.
Expertise Areas
- Sports performance analytics
- AI-driven individualized training optimization
- Genetic-based personalization for training
- Environmental normalization for performance
Key Technologies
- Machine learning
- Predictive modeling
- Prescriptive analytics
- Cloud computing