Ndatalyze's Epitome analyzes hockey player performance

Executive Summary

• Ndatalyze Corp. has initiated "Epitome," a new predictive sports performance project leveraging AI and machine learning to analyze professional hockey performance.
• The project utilizes proprietary biometric modeling, genetic predispositions, and performance statistics to create unique player signatures, aiming to reduce risk in NHL draft picks, trades, and contracts.
• The initiative is fully financed through existing cash on hand, ensuring no shareholder dilution, and is included in the company's previously announced reverse takeover (RTO) spinout structure.

Key Details

• Project Name: Epitome.
• Core Technology: Proprietary biometric modeling technology combining biometric data, performance statistics, genetic predispositions, and algorithmic scores (adapted from the clinically studied Sigmund algorithms).
• Target Market: Professional hockey (specifically NHL), with potential scalability to other major sports. The global sports analytics market is projected to surpass $22 billion (U.S.) by 2030.
• Value Proposition: Addressing the high financial risk of player drafting (only 19% of NHL draftees play more than 200 games) by providing a valuation tool to derisk decisions on acquisitions, trades, and long-term contracts.
• Applications:
  • Assessing future performance prospects before acquisitions or trades.
  • Optimizing roster configurations.
  • Developing personalized coaching and training protocols.
• Advisory Support: Secured commitments from three advisers, including two former NHL coaches and one university-level coach, to help define the "digital high performance player."
• Financing: Fully financed through existing cash on hand; no dilution to shareholders.
• Corporate Structure: Epitome is included in the proposed spinout of the previously announced reverse takeover (RTO). Pre-RTO shareholders will benefit from the project regardless of whether the RTO closes.

Notable Quotes

• "The draft is an inherently risky, multimillion-dollar gamble. By adapting our clinically studied Sigmund algorithms for sports applications, we are building a valuation tool that may significantly derisk these decisions. Our goal is to create a disruptive edge in professional hockey, with potential scalability across other major sports." — Jim Durward, Ndatalyze President