Ensuring the numbers match the people

A platform for reliable, locally valid normative data for Neuropsychological Evaluation and Research

A new standard for
Brain-Behavior Evaluation

Apples to Apples is improving the precision and effectiveness of neuropsychological assessments by making culturally specific data accessible.

Our goal is to ensure that no population is overlooked, and every individual receives the accurate evaluation they deserve.

THE CHALLENGE

Gaps in Normative Data in Neuropsychology

Neuropsychological assessments often rely on narrow datasets, leaving much of the global population unrepresented.

This limited foundation can lead to real consequences in both research and clinical practice.

Impacts:

inaccurate diagnosis
patients receive assessments that don’t reflect their reality

ineffective treatment plans
interventions are based on skewed benchmarks

misleading research
lack of culturally diverse data can distort findings and limit discoveries

ethical concerns
applying non-representative data universally reinforces disparities

OUR SOLUTION

Bridging the gap with innovation

At the heart of our work is an innovative collaborative database that holds locally valid normative data for commonly used neuropsychological tests. By providing seamless access to this information, we empower clinicians and researchers to make informed decisions that reflect the diverse realities of their patients and research participants.

Collaborative Database

Encouraging researchers to upload locally validated, ethically produced normative data from diverse populations
Context-Aware Assessments

Empowering researchers and clinicians with tools for accurate effective neuropsychological assessment
Access to a Digital Platform

Providing a platform that gives clinicians and researchers around the world seamless and reliable access to this data
Accurate Data Easily Accessible

Developing a feature that leverages AI for natural language queries of patient results with demographic-specific norms