Revolutionizing Early Dementia Detection

Revolutionizing Early Dementia Detection

Clarity's AI platform identifies cognitive decline years before traditional diagnosis by analyzing passive digital behaviors

The Crisis of Late Diagnosis

Late dementia diagnosis creates immense financial and personal burdens for patients, families, and healthcare systems.

75-91%

Are Undiagnosed

Of people expected to have dementia have not yet been diagnosed.

$7 Trillion

In Potential Savings

The amount that could be saved by 2050 in the US through early diagnosis.

4 out of 5

Patients

Dementia patients who stated they wished they had found out about their diagnosis earlier.

A New Approach to Cognitive Health

Unlike other tools, Clarity works passively in the background, requiring no active effort from the patient.

Traditional Competitors

Competitors like Neurotrack and Cogstate use app-based cognitive games or VR assessments.

  • Requires active involvement and scheduled assessments from the patient.
  • Only captures a snapshot in time, not continuous data.

The Clarity Solution

Clarity relies solely on passive monitoring by studying natural, day-to-day behaviors.

  • No patient effort is required for data collection.
  • Collects continuous data from typing and driving to predict cognitive decline years earlier.

From Daily Data to Clinical Insights

Clarity works in three simple steps.

01. Passive Collection

Clarity
Monitoring Active
LIVE DATA LOG:
Keystroke Speed
Hard Braking Events
Driving Radius
Typing Rhythm

Our mobile app passively collects typing and driving data using device sensors, requiring no patient effort.

02. AI-Powered Analysis

ML models, built on clinical data, analyze subtle changes to predict cognitive decline with up to 88% accuracy.

03. Clinician Reporting

Clinician Dashboard
WPM
Hard Brakes
Driving Radius
Trip Time
Night Trips
Trips/Day

HIPAA-compliant reports and alerts are sent directly to the clinician's dashboard to facilitate early diagnosis.

Meet the Founders

Driven by personal experience and a passion for healthcare.

Harish Mukkapati

AI & Technical Lead

Computer Science & AI Researcher at OSU. Harish is building Clarity's core machine-learning models, leveraging insights from clinical datasets.

Vishal Vivek

Neuroscience & Clinical Lead

Neuroscience major on the pre-med track. As a PCA at Wexner Medical Center, Vishal brings firsthand clinical experience of dementia's devastating impact.

Connect with Clarity

We are actively seeking research partners, healthcare providers, and investors. Fill out the form to meet the team.