Cumulus Neuroscience
Company developing an AI-driven, multi-domain digital biomarker platform for decentralized monitoring of brain function. The platform combines a wearable dry‑electrode EEG headset, tablet-based cognitive and behavioural assessments, cloud data management and machine‑learning analytics to support frequent in‑clinic and at‑home longitudinal monitoring, biomarker validation, and clinical trial endpoints for CNS indications.
Industries
Nr. of Employees
small (1-50)
Cumulus Neuroscience
Belfast, Belfast, United Kingdom, Europe
Products
At‑home wearable EEG headset and synchronized tablet neuroassessment platform
An integrated system combining a dry‑electrode multi‑lead wearable EEG headset with synchronized tablet‑based cognitive and behavioral tasks, cloud data capture, and ML analytics for frequent in‑clinic and at‑home monitoring.
Passive EEG memory screening tool (3‑minute passive test) — in development
A short passive EEG protocol that measures automatic recognition memory responses to images paired with ML analytics to identify early memory impairment potentially indicative of Mild Cognitive Impairment/Alzheimer’s disease.
At‑home wearable EEG headset and synchronized tablet neuroassessment platform
An integrated system combining a dry‑electrode multi‑lead wearable EEG headset with synchronized tablet‑based cognitive and behavioral tasks, cloud data capture, and ML analytics for frequent in‑clinic and at‑home monitoring.
Passive EEG memory screening tool (3‑minute passive test) — in development
A short passive EEG protocol that measures automatic recognition memory responses to images paired with ML analytics to identify early memory impairment potentially indicative of Mild Cognitive Impairment/Alzheimer’s disease.
Services
CNS clinical trial support and decentralized monitoring
Design and operational support for CNS clinical studies including development and deployment of digital endpoints, high‑frequency at‑home sampling, data capture, and analytics for trial efficiency and decision‑making.
Machine‑learning analytics and digital endpoint development
Development and validation of ML models to derive digital endpoints from multimodal longitudinal data and to model trial power and efficiencies.
CNS clinical trial support and decentralized monitoring
Design and operational support for CNS clinical studies including development and deployment of digital endpoints, high‑frequency at‑home sampling, data capture, and analytics for trial efficiency and decision‑making.
Machine‑learning analytics and digital endpoint development
Development and validation of ML models to derive digital endpoints from multimodal longitudinal data and to model trial power and efficiencies.
Expertise Areas
- Digital biomarkers for CNS disorders
- EEG‑based neurophysiology and wearable electrophysiology
- Decentralized and remote clinical trial execution
- Machine learning for longitudinal clinical endpoints
Key Technologies
- Dry‑electrode wearable EEG (multi‑lead)
- Tablet‑based cognitive and behavioral assessments
- AI / machine learning analytics for multimodal data
- Facial expression recognition algorithms