nDatalyze Corp. Completes Multi-Team Data Collection and Calibration for Epitome Sports Analytics Platform

Core Insights - nDatalyze Corp. has achieved a significant development milestone for its AI-driven sports performance analytics platform, Epitome, by completing data collection, testing, and calibration across three organized hockey teams [1] - The dataset includes athletes from two Western Hockey League teams and one Ontario University Athletics program, allowing for a comprehensive analysis across different competitive environments [1] - The completion of this milestone reduces technical risk and enables the company to shift focus from platform development to market analysis and commercialization planning [1] Platform Overview - Epitome is designed as a decision-support analytics platform that integrates machine learning with biological, emotional, and environmental data to create individualized athlete profiles, known as "Signatures" [1][3] - The platform aims to support personalized player development strategies, workload management, and organizational decision-making, rather than predicting specific athletic outcomes [1] Milestone Significance - The completion of multi-team data collection and calibration is seen as a validation step for the Epitome platform, demonstrating the consistency of the analytics framework across independent organizations [2][4] - This milestone reduces bias associated with single-team and single-environment data, supporting controlled expansion to additional teams and development pathways [4] Next Steps - Following the completion of data collection and calibration, the company will focus on identifying and quantifying addressable market segments, including specialized hockey academies, junior teams, athlete parents, and scouts [2] - This will form the basis for a data-driven marketing and sales strategy aimed at commercialization [2]