Mr. James Durward reports

NDATALYZE CORP. ("NDAT" OR THE "CORPORATION") (CSE:NDAT) (OTC:NDATF) ANNOUNCES A LETTER OF INTENT WITH DR. DALE STEVENS, PH.D., ASSOCIATE PROFESSOR, DEPARTMENT OF PSYCHOLOGY, FACULTY OF HEALTH, YORK UNIVERSITY

On Nov. 10, 2023, Ndatalyze Corp. signed a letter of intent (LOI) with Dr. Dale Stevens, associate professor, department of psychology, faculty of health, York University, whereby Dr. Stevens has agreed to be the principal investigator for the machine-learning-logic/DNA aspect of Ndatalyze's previously announced clinical study.

Dr. Stevens received his PhD in neuropsychology, with a specialization in neuroscience, from the University of Toronto. He conducted postdoctoral work in cognitive neuroscience at Harvard University (Cambridge, Mass.) as a research associate, then at the National Institute of Mental Health (Bethesda, MD) as a senior research fellow.

Dr. Stevens will be assisted by Amir Zarie, PhD candidate, also from York's Department of Psychology. The LOI contemplates a formal agreement within 30 days, which formal agreement is to include, but not be limited to, specification of the project, preparation of a Mitacs grant application, an assessment of NDAT's existing YMI predictive mental health system (YMI) logic, integration of a DNA aspect into YMI, calibration of YMI and submission of a paper to a peer-reviewed journal. Readers are advised that this aspect of the overall clinical study deals with the assessment and calibration of YMI's existing predictive logic and the integration of DNA data, and that the psychiatric aspect is expected to involve a different PI(s) and a different institution(s) whereafter both aspects are to be combined in an enhanced YMI system. Negotiations with potential psychiatric PIs are continuing.

The corporation will finance this project with existing cash reserves.

James Durward, chief executive officer/chief technology officer states: "The addition of Dr. Stevens and Amir to our clinical study team is a significant advance toward our goal of providing an advanced comprehensive tool designed to improve the way mental conditions are diagnosed and treated. For the clogged mental health system and the mental health crisis, I believe the time for machine-learning-based decision support tools is now."

About YMI

YMI uses evidence-based, objective data from whole life experiences to predict individual mental states over time and applies this knowledge toward a fuller understanding of how mental health develops and to improve mental well-being. YMI combines machine-learning with a proprietary reference database that contains greater than 1,200 person's genetic expressions, childhood environment, habits, phobias, lived experiences and lifestyle to generate a personalized graphic report predicting an individual's predisposition toward a variety of common mental conditions, both current and forward in time.

We seek Safe Harbor.