Anjo.ai
Anjo.ai is dedicated to revolutionizing allergy management by providing remote monitoring solutions for children at risk of life-threatening allergic reactions. Using AI, patent-pending technology, and wearable devices, the company aims to detect early signs of allergic reactions, empower parents and physicians with data-driven insights, and improve the quality of life for families. Their mission is to create a future where allergy-related anxieties are minimized through continuous monitoring, early warning systems, and comprehensive allergy management tools.
Industries
Nr. of Employees
small (1-50)
Products
Allergy risk monitoring platform
A software platform that ingests wearable physiological data, applies predictive analytics to detect early signs of severe allergic reactions, logs events, and delivers alerts to caregivers and clinicians.
Allergy risk monitoring platform
A software platform that ingests wearable physiological data, applies predictive analytics to detect early signs of severe allergic reactions, logs events, and delivers alerts to caregivers and clinicians.
Services
Remote allergy risk monitoring service
Continuous remote monitoring service that collects physiological data from smart wearables, analyzes it with predictive models, and issues alerts to caregivers and clinicians.
Clinical validation and data-sharing support for clinicians
Provision of structured event logs and physiological reports to support review by allergists and to facilitate clinical validation activities.
Remote allergy risk monitoring service
Continuous remote monitoring service that collects physiological data from smart wearables, analyzes it with predictive models, and issues alerts to caregivers and clinicians.
Clinical validation and data-sharing support for clinicians
Provision of structured event logs and physiological reports to support review by allergists and to facilitate clinical validation activities.
Expertise Areas
- Remote patient monitoring
- Pediatric allergy risk management
- AI-driven predictive analytics for physiological signals
- Clinical study validation (oral food challenge contexts)
Key Technologies
- Wearable sensor data acquisition
- Time-series physiological signal analysis
- AI / machine learning predictive models
- Cloud-based analytics and alerting