Seizury
Seizury provides an AI-driven platform that analyzes physiological signals to predict epileptic seizures before they occur, giving patients and caregivers early warnings to take protective action. The system uses continuous monitoring and personalized prediction models that adapt to each patient's unique seizure patterns, enabling safer daily activities and reduced anxiety.
- Healthcare Technology
- Digital Health
- Artificial Intelligence
- Medical Devices
- Internet of Things
- Hardware
- Software Only
- Data & Analytics
- Wellness & Fitness Technology
Funding
Founders
Founder details are not available yet.
Product
Problem
Epileptic seizures often strike without warning, creating constant uncertainty and safety risks for patients and their caregivers. The unpredictable nature of seizures limits daily activities, increases anxiety, and can lead to dangerous situations when seizures occur during driving, swimming, or other high-risk moments.
Solution
Seizury uses artificial intelligence to analyze physiological signals and predict epileptic seizures before they manifest. The platform processes continuous data streams to identify subtle pre-seizure patterns that precede clinical onset, generating early warnings that give users valuable preparation time. This predictive capability enables patients to seek safe positions, alert caregivers, or take prescribed rescue medication before a seizure fully develops. The system is designed to integrate into daily life, providing a practical monitoring solution that extends beyond clinical settings.
Target Audience
Primary users are people living with epilepsy who experience frequent or unpredictable seizures, along with their caregivers and family members seeking greater safety and independence.
Features
- AI-driven seizure prediction engine that detects pre-ictal patterns from physiological data
- Real-time alert system that notifies users and designated caregivers of impending seizures
- Continuous monitoring architecture designed for long-term, non-intrusive wear
- Data analytics dashboard for tracking seizure frequency, prediction accuracy, and trend patterns
- Personalized prediction models that adapt to individual patient seizure signatures