Cumulus Neuroscience has developed a medical-grade platform that integrates at-home EEG monitoring with tablet-based cognitive assessments to collect longitudinal data on brain health. This technology addresses the challenges of late diagnosis and ineffective monitoring in neurodegenerative diseases and psychiatric disorders, facilitating more efficient clinical trials and improving therapy delivery.
Funding
$28.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
IUFounders
Product
Problem
Current methods for monitoring brain disorders rely on infrequent clinical visits, leading to late diagnoses, ineffective patient stratification, and difficulties in tracking disease progression. Traditional clinical trials for central nervous system (CNS) diseases are often hampered by these limitations, resulting in increased costs and delays in delivering new therapies.
Solution
Cumulus Neuroscience offers a medical-grade platform that integrates at-home electroencephalography (EEG) monitoring with tablet-based cognitive assessments to collect longitudinal brain health data. The platform enables frequent, remote data collection across multiple modalities, providing objective insights into neurophysiological and cognitive functions. By combining clinical-grade data with machine learning analytics, Cumulus facilitates faster, more robust, and cost-effective clinical trials. The platform's advanced AI-powered analytics automatically evaluate multi-dimensional data, detecting subtle changes in patients and providing rapid assessment of treatment outcomes.
Target Audience
The primary target audience includes pharmaceutical companies, clinical researchers, and healthcare providers involved in clinical trials and the management of neurodegenerative diseases and psychiatric disorders.
Features
- Home-usable EEG headset for tracking neuronal integrity, network connectivity, and compensation strategies
- Tablet-based cognitive assessments designed for repeated longitudinal evaluation of working memory, episodic memory, executive function, and decision-making
- Integration of P1vital Products’ Facial Expression Recognition Task (FERT) for assessing emotional bias
- Utilizes Winterlight Labs’ algorithms for language-based diagnostics, analyzing natural speech to detect and monitor dementias
- Clinically-validated sleep assessment tools for remote measurement of sleep quality metrics and sleep staging
- Secure cloud-based storage and machine learning architecture for analyzing composite behavioral, physiological, and functional data
- AI-powered analytics for automated evaluation of multi-dimensional data and rapid generation of meaningful insights