A New digital endpoint for clinical trials
The new standard for cognitive endpoints
PREMAZ provides a novel and sensitive digital measure of cognitive performance, designed to detect subtle changes long before traditional assessments.
Built for clinical research environments, PREMAZ delivers remote, scalable, and regulatory-ready endpoints that improve data quality and reduce the cost and complexity of running multi-site trials.
A smarter way to measure cognition in trials
Cognitive endpoints have traditionally relied on subjective testing and manual scoring. These tests fail to detect subtle early changes, and are slow, inconsistent, and hard to scale.
Streamlined Clinical Trial Onboarding
PREMAZ integrates easily into existing study protocols, requiring no additional hardware or complex setup.
Monitor Subtle Cognitive Change Over Time
Continuously tracks these small changes, offering longitudinal insights into treatment efficacy.
Sensitive Clinical Trial Endpoints
We detect cognitive change long before traditional tests, making for a useful secondary endpoint.
Reduce Clinical Trial Costs Efficiently
Automated data capture and centralised cloud analysis eliminate manual scoring, reduce administrative burden, and shorten study timelines.
Scientifically validated. Clinically proven.
Validation Studies
Independent peer-reviewed studies supporting PREMAZ’s accuracy, reliability, and early-detection sensitivity.
1000+
Participants
Data gathered across healthy, MCI, and early-stage clinical populations to ensure broad applicability.
5
Research Institutions
Collaborations with leading universities and clinical centers providing external scientific validation.
How is PREMAZ different?
Hear from our founder Dr Julia Cooney about how PREMAZ is different to traditional cognitive testing.
Ready to collaborate on your next trial?
Reach out to our partnerships team to discuss validation data, regulatory alignment, or integration into ongoing studies.Together, we can bring next-generation cognitive endpoints into modern clinical research.
