The standard for
quantifying product effects

AI-powered EEG technology to standardize and objectively quantify changes in well-being mental states

THC Effect = 0%

Relaxation = 10%

Energy = 57%

Mental Clarity = 45%

Mood = 65%

Anger = 5%

Anxiety = 0%

Sadness = -20%

The standard for quantifying product effects

AI-powered EEG technology to standardize and objectively quantify changes in well-being mental states.

Mental Clarity= 45%

Energy = 57%

Relaxation = 10%

THC Effect = 15%

Sadness = -20%

Anxiety = 0%

Anger = 5%

Mood = 65%

The wellness market lacks fast, reliable, and affordable research frameworks to study non-therapeutic product effects

Without credible and clear efficacy data, innovative products struggle to earn trust, stand out, and scale.

Consumers don’t know how to identify highly-effective products just by looking at their active ingredients. Without scientific proof of efficacy, innovative and high-performance products face skepticism and struggle to differentiate in markets saturated with generic or low-quality alternatives, leaving consumers unable to identify real value.

For example:

1. Does Ashwagandha work for relaxation?
2. Which option is more effective?

Existing research methods are not well suited for validating the efficacy of non-medical product effects

Questionnaires

Pharma-Type Clinical Trials

Existing research methods are not well suited for validating the efficacy of non-medical product effects

Questionnaires

Pharma-Type Clinical Trials

EEG is the optimal tool for product effect research, yet it remains inaccessible beyond hospital settings

Existing EEG systems:

For over 10 years, we've been mapping brain activity to create AI that resolves this issue and democratizes EEG analysis beyond hospital settings

Funded by the Ontario government (Ontario Brain Institute and Ontario Centre of Innovation) since 2016, Zentrela has been conducting large IRB-approved human trials to map the brain (EEG) under many mental states with the end goal of creating artificial intelligence that objectifies, standardizes and democratizes EEG analysis for multiple research purposes in non-medical settings.

COGNALYZER®

Introducing the only scientifically proven AI for EEG-based well-being mental state analysis

Cognalyzer® AI is built on the world’s largest and continuously growing EEG database accurately linked to scientifically characterized mental states, and mental state changes. Unlike traditional EEG systems that report raw signal features (e.g. alpha power), Cognalyzer® translates EEG signals into objective and measurable mental-state metrics, enabling an exponentially simpler and more affordable EEG solution for non medical applications.

Our AI-powered EEG platform introduces a practical & scalable wellness research framework, helping teams guide product development and more clearly demonstrate the effectiveness of their innovations.

✔ IRB-Approved Trials

✔ Placebo-controlled

✔ Neurophysiological

✔ 10x Less Costly

✔ Results in 4-8 Weeks

✔ Publishable Results

✔ IRB-Approved Trials

✔ Placebo-controlled

✔ Neurophysiological

✔ Publishable Results

✔ 10x Less Costly

✔ Results in 4-8 Weeks

More credibly & clearly demonstrate the efficacy of your innovations with easy-to-interprete neurophysiological (EEG), statistically backed data

AI-based neurophysiological (EEG) analysis of product-induced mental state changes. Below we show an example of a product-induced anxiety mental state change.

Statistical methods assess the reliability of product-induced mental state changes.

Prove superior performance through objective and standardized benchmarking versus competitors for more trust and differentiation.

Through IRB-approved, standardized, randomized, crossover, placebo-controlled proprietary EEG protocols, we quantitatively assess the efficacy of multiple products, enabling reliable identification of top-performing formulations and solid benchmarking against comparators.

Our research applies to any product that directly or indirectly influences the well-being mental states we analyze

Nootropics
Cannabinoids
Topicals
Caffeine
Natural Products
Pharma
More...
Wearables
Therapies
Vapes
Edibles
GPGs
OTCs
Terpenes
Flavors
Energy
Relaxation
Sleep
Focus
Mood
Anxiety
Sadness
Anger

A decade of R&D, scientific validation, and industry and academic adoption

Over the past 10 years, we have built the scientific and methodological foundations of our proprietary AI-powered EEG technology and research model, establishing it as one of the most objective and reliable tools for mental-state analysis.

2016
2016
Funded by the Ontario Government & Angel Investment
2019
2019
Independently Validated
2021
2021
IRB-Approved
2023
2023
Health-Canada-Approved for Category 3 NTRC trials
2025
2025
70+ Partnerships / Studies

Our Research Sites

We have two IRB-approved research sites in North America dedicated to conduct non-therapeutic trials accurately and efficiently.

Hamilton, ON

Ann Arbor, MI

Who we serve

For companies building innovative and high-efficacy wellness or health products, we provide independent, objective, neurophysiological evidence that drives product refinement and enables meaningful differentiation in crowded markets saturated with low quality / generic products.

Who we serve

For companies building innovative and high-efficacy wellness or health products, we provide independent, objective, neurophysiological evidence that drives product refinement and enables meaningful differentiation in crowded markets saturated with low quality / generic products.

Collaborations With Universities and Research Hospitals

We collaborate with research universities and hospitals, like Washington State University, McMaster University, and Montréal’s Centre hospitalier de l’Université de Montréal (CHUM).
Our EEG system is portable, easy to integrate into research protocols, and straightforward for research assistants to use. We can deliver raw EEG analysis within days rather than months, compared to traditional EEG systems that rely on semi-manual, non-standardized workflows for data cleaning, processing, and analysis.

We welcome more collaborations in any of the following fields of research:

Contact Us

Leave a message or email us at collaborations@zentrela.com