NGen Sports
Ment Tech Labs partnered with NGen Sports to develop a next-generation digital platform that combines sports analytics, athlete management, and performance optimization. Designed to empower coaches, athletes, and sports organizations, the system delivers real-time insights, predictive analytics, and holistic training management through an intelligent, data-first approach.
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NGen Sports is an Armenia-based multi-vertical sports organization with operations spanning athlete management, sports academies, performance analytics, esports, and sports medicine. The company’s vision is to turn Armenia into a global hub for athletic excellence by merging world-class coaching, advanced data science, and sports infrastructure.
They manage diverse projects such as Juventus Academy Armenia, Medicina Dello Sport, and UEFA Category 2 Stadium, combining traditional sports expertise with modern technology. The leadership team wanted a centralized digital ecosystem to unify athlete data, training metrics, injury diagnostics, and team management into one seamless platform.
Ment Tech Labs was chosen to architect and build this AI-powered web platform capable of handling performance monitoring, predictive training models, and integrated sports analytics dashboards, helping coaches, trainers, and managers make smarter, real-time decisions.
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As NGen Sports expanded its operations across academies and performance centers, managing athlete data and analytics became increasingly complex. The company needed a smarter, unified system to bridge the gap between training, medical tracking, and team management.
Disconnected Athlete Data Systems
Performance, medical, and training data were scattered across different tools with no unified access point.
No Predictive Analytics Layer
There were no machine learning models to anticipate potential injuries or identify early performance drops.
Inefficient Team Coordination
Manual scheduling processes caused frequent overlaps between coaches, facilities, and athlete sessions.
Poor Real-Time Tracking
Trainers lacked live dashboards to monitor training intensity and workload variations in real time.
Limited Visualization Tools
Existing analytics reports were too technical, making it hard for coaches to interpret and act on the data.
Scalability Bottlenecks
The older system could not scale efficiently to manage large athlete datasets or support new academies.
Ment Tech Labs’ Development Approach for NGen Sports
Ment Tech Labs approached NGen Sports with a data-first development strategy focused on building a unified performance ecosystem. The objective was to combine AI analytics, athlete monitoring, and sports management tools into one powerful and intuitive digital platform.
Ment Tech Labs delivered a complete digital ecosystem that modernized athlete management and performance analytics across NGen’s sports academies and professional programs. Each solution was engineered for accuracy, scalability, and real-time decision-making.
Unified Athlete Management System
Centralized all athlete profiles, training logs, and performance analytics into one platform accessible to coaches, analysts, and medical teams.
AI-Powered Performance Analytics
Integrated AI models that identify fatigue patterns, predict injuries, and optimize training intensity through continuous performance tracking.
Smart Training and Recovery Scheduler
Developed a scheduling engine that dynamically adjusts training sessions based on recovery scores, workload balance, and upcoming competition timelines.
Real-Time Dashboard for Coaches
Created live data dashboards enabling coaches to monitor session loads, player performance, and key metrics across teams in real time.
Integrated Medical and Wellness Module
Linked athlete medical data, physiotherapy updates, and injury histories to ensure holistic monitoring and faster recovery planning.
Multi-Academy Scalability Framework
Engineered the system to support multiple academies and federations simultaneously with consistent uptime and cross-team data synchronization.
Our clients
Athlete Performance Tracking
Monitors metrics such as speed, endurance, agility, and recovery time through connected wearables and IoT devices.
AI-Driven Injury Prediction
Uses machine learning models to detect early signs of strain or fatigue, helping reduce injury risks before they escalate.
Advanced Data Visualization
Interactive dashboards allow coaches to analyze historical data, compare player performance, and identify growth patterns.
Team and Facility Management
A unified tool for scheduling training sessions, managing coach assignments, and tracking facility usage in real time.
Video Analytics and Game Review
Integrates match footage with performance data, enabling players and coaches to review tactics and improve gameplay efficiency.
Cross-Sport Compatibility
Supports multiple sports, from football to tennis and basketball, allowing federations to manage diverse athlete ecosystems from one platform.
Driving Performance and Efficiency Across DeFi Markets
