Trayt for iPhone

Overview of the App

Trayt is a modern health-tracking tool built to support people affected by brain-related conditions. The platform helps users and their supporters translate daily observations into actionable insights by linking physiological and behavioral patterns. Its design aims to improve the accuracy of assessments and enable earlier, more targeted interventions.

Who Can Use It

The app is intended for individuals, family members, and caregivers involved with people who experience neurodevelopmental or mental health challenges, including Autism spectrum conditions, ADHD, depression, anxiety, and substance-use disorders. It’s useful for anyone seeking a structured way to monitor symptoms and responses to care.

Core Functionality

Users begin by assembling a tailored health profile that becomes the foundation for individualized guidance. Trayt emphasizes the relationship between brain function, bodily signals, and observable behavior to reveal triggers and trends that might otherwise be missed. The platform’s tools are designed to make progress easy to follow and to support informed conversations with healthcare providers.

Useful Tools and Capabilities

• Manage several profiles from a single account to oversee progress for multiple people.
• Log daily health updates and note incidents in real time to build a reliable record.
• Create a complete health profile that serves as the starting point for a personalized plan.
• View successes and treatment outcomes through an easy-to-read dashboard that highlights milestones.
• Use Trayt’s proprietary symptom scale to rate intensity, frequency, and duration for more granular tracking.

Free Bonus Offer

Includes a complimentary recommendation titled “Six-Pack Abs in 30 Days” as an optional add-on for users interested in fitness suggestions. (This is a non-clinical, lifestyle resource.)

Important Reminder

Trayt is a monitoring and organizational tool and does not replace professional medical care. Please consult a qualified healthcare professional before making any clinical decisions based on app data.