Mr. James Durward reports

NDATALYZE CORP. ("NDAT" OR THE "CORPORATION") (CSE:NDAT) (OTC:NDATF) ADVANCES ITS CLINICAL STUDY PROCESS

Ndatalyze Corp. has received multiple expressions of interest from highly qualified potential principal investigators (PI) for its previously announced, Mitacs-sponsored clinical study. The potential PIs to date include qualified persons in the fields of psychiatry and artificial intelligence/machine learning (AI/ML). The clinical study is being undertaken to test, calibrate and validate the machine-learning-based YMI clinical decision support system (CDSS), and will be financed in combination with Mitacs. Mitacs typically shares costs, but the ratio cannot be known until the PI sets out the process, protocols and budget. Details will be released once the clinical study is formalized. Interested parties can view the project outline at the Mitacs website. YMI is currently a fully operational on-line system based on the corporation's proprietary reference database and machine learning algorithms. Those who wish to try the system at no charge are urged to contact jimd@ndatalyze.com.

James Durward, president, states: "It's wonderful to experience the excitement of these highly qualified experts and I look forward to working with the selected parties during the clinical study. In my opinion, machine learning has the potential to fundamentally change the way mental conditions are diagnosed and treated -- promising a significant reduction of mis/over-diagnoses and attendant follow-on mis/over-prescriptions that contribute to the clogged mental health system. The recent groundswell supporting pro-active mental health reinforces our decision to focus on making YMI available to the medical community as soon as practically possible."

The corporation firmly believes that Ndatalyze's extremely low capitalization compared with its peers presents an outstanding investment opportunity for those investors active in the mental health space. Some peer examples are shown in the associated table.

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 more than 1,200 person's genetic expressions, childhood environment, habits, phobias, lived experiences and lifestyles to generate a personalized graphic report predicting an individual's predisposition toward a variety of common mental conditions, both current and forward in time.

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