The standard for
quantifying product effects
AI-powered EEG technology to standardize and objectively quantify changes in well-being mental states
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%
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%

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











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.
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.


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.


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.
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.




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







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.
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.
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.