18:41:57 EDT Thu 09 Jul 2026
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Netramark Holdings Inc
Symbol AIAI
Shares Issued 92,648,699
Close 2026-07-08 C$ 0.82
Market Cap C$ 75,971,933
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Netramark lands contract research organization contract

2026-07-09 13:04 ET - News Release

Mr. George Achilleos reports

NETRAMARK SIGNS NEW CONTRACT TO ANALYZE PHASE 2 NEURODEGENERATION TRIAL DATA WITH CONTRACT RESEARCH ORGANIZATION PARTNER

Netramark Holdings Inc. has signed a new contract to analyze a phase 2 neurodegeneration data set through its established contract research organization (CRO) partnership.

"This contract is an important commercial milestone for Netramark because it represents our first contract flowing through a CRO, rather than directly with a biopharmaceutical company," said George Achilleos, chief executive officer of Netramark. "We believe this reflects a meaningful expansion of how NetraAI can reach biopharmaceutical companies, by becoming part of the broader clinical development infrastructure that CROs use to support sponsors."

The agreement will allow Netramark to analyze the phase 2 clinical trial data to support future development and clinical trial planning for neurodegenerative disorders.

Neurodegenerative disorders represent one of the most challenging areas of clinical development due to disease heterogeneity, progression rates and the difficulty of identifying patients most likely to respond to treatment. Advanced analytical approaches that can identify clinically meaningful patient subgroups may provide valuable insights for future development strategies.

The partnership combines the CRO's global clinical development expertise with Netramark's explainable AI platform and experienced industry team to analyze a neurodegenerative disease data set.

Under this agreement, Netramark will apply its proprietary NetraAI platform to evaluate available trial data with the objective of identifying explainable model-derived subgroups (MDS) and treatment-response patterns that may not be apparent through conventional analytical approaches. The analyses are intended to generate clinically interpretable insights that may support patient stratification, better trial design and future drug-development decisions.

This engagement further extends Netramark's growing portfolio of AI-driven projects in central nervous system (CNS) disorders and reflects increasing interest in explainable AI approaches that may generate and deliver actionable insights from complex clinical data sets.

About NetraAI

NetraAI is engineered to include focus mechanisms that separate small data sets into explainable and unexplainable subsets. Unexplainable subsets are collections of patients that can lead to suboptimal overfit models and inaccurate insights due to poor correlations with the variables involved. NetraAI uses explainable subsets to derive insights and hypotheses (including factors that influence treatment and placebo responses and adverse events), potentially increasing the likelihood of a clinical trial's success. Many other AI methods lack these focus mechanisms and assign every patient to a class, often leading to overfitting, which drowns out critical information that could have been used to improve a trial's chance of success.

About Netramark Holdings Inc.

Netramark is focused on being a leader in the development of generative artificial intelligence (Gen AI)/machine learning (ML) solutions that are targeted at the biotechnology and pharmaceutical industries. The company's product offering uses a novel topology-based algorithm that has the ability to parse patient data sets into subsets of people that are strongly related according to several variables simultaneously. This allows Netramark to use a variety of ML methods, depending on the character and size of the data, to transform the data into powerfully intelligent data that activates traditional AI/ML methods. The result is that Netramark can work with much smaller data sets often prevalent in clinical trials, and accurately segment diseases into different types, as well as help to classify patients for sensitivity to drugs and/or efficacy of treatment.

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