Mariam Khayretdinova
CEO and co-founder
Brainify.AI
Brainify.AI provides a cloud‑based platform that pairs a portable, medical‑grade EEG headset with AI‑driven analytics to deliver objective, scalable biomarkers of brain health. The system automatically processes and normalizes EEG recordings, generating real‑time risk scores and reports for conditions such as epilepsy, sleep disorders, and cognitive decline, and integrates with EHRs and research workflows.
- Artificial Intelligence
- Data & Analytics
- Digital Health
- Healthcare Technology
- Medical Devices
- Software Only
Updated 5 months ago
Funding
Raised to date
$150KRaised 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.
Funding rounds are not available yet.
Founders
Product
Problem
Current assessment of brain health relies on expensive, clinic-bound EEG equipment and manual interpretation, limiting large‑scale monitoring and early detection of neurological conditions. The scarcity of standardized, data‑driven tools hampers precision medicine approaches for brain disorders.
Solution
Brainify.AI delivers a cloud‑based platform that combines medical‑grade EEG hardware with AI-driven analytics to provide objective, scalable insights into brain health. Users record EEG data with a portable device, which is securely uploaded to the platform where large‑scale signal processing and predictive modeling generate clinically relevant biomarkers. The system produces automated reports that support diagnosis, treatment planning, and longitudinal tracking, enabling clinicians and researchers to apply precision‑medicine strategies without extensive manual analysis.
Target Audience
Primary customers are neurologists, sleep clinics, and research institutions that require reliable EEG analytics for diagnosis, monitoring, and clinical studies.
Features
- Portable, medical‑grade EEG headset with built‑in signal quality monitoring
- End‑to‑end data pipeline that cleans, normalizes, and stores recordings in a HIPAA‑compliant cloud
- AI models trained on extensive EEG datasets to detect patterns associated with epilepsy, sleep disorders, cognitive decline, and other neurological conditions
- Real‑time analytics dashboard delivering quantitative biomarkers, risk scores, and trend visualizations
- API integration for electronic health record (EHR) systems and research platforms
- Continuous model updates leveraging federated learning to improve accuracy across diverse populations