top of page

Our Solution: The TRUST Platform

The Premier Health-Tech Recovery Platform with Personalized AI Relapse Prediction At TRUST, we believe recovery requires intelligence, not just willpower. Unlike traditional apps that simply track streaks, TRUST is a clinically grounded, AI-driven platform designed to analyze the root causes of addiction and mental health challenges.

Personalized From Day One

The journey begins with deep personalization. Upon joining the platform, users provide critical data points to establish a unique baseline for their recovery model:

  • Addiction Focus: Users identify their primary challenge, whether it is alcohol, nicotine, substances, gaming, or internet use.

  • Emotional Trigger Mapping: We identify the specific psychological drivers behind potential relapses, such as anger, boredom, loneliness, peer pressure, stress, anxiety, or depression.

How the TRUST AI Engine Works
Our proprietary AI continuously monitors and analyzes behavioral and emotional data to move from reactive tracking to active prediction:

  • Relapse Risk Prediction: The platform forecasts potential relapse risks before they occur by identifying subtle patterns in behavior.

  • Dynamic Recovery Plans: Your recovery plan isn't static; the AI personalizes and adapts your guidance based on real-time data.

  • Integrated Wellness & Vitals: By integrating wearable vitals with mental health parameters, TRUST provides a comprehensive view of your physical and emotional well-being.

A Closed-Loop Care System
TRUST ensures that no user has to walk the path to recovery alone. Our system connects real-time insights with your existing support network:

  • Proactive Alerts: If the AI detects an increased risk level, it can automatically alert a user’s sponsor or clinician (therapist, psychologist, or doctor) to enable early intervention.

  • Intelligent Reminders: The platform triggers automated reminders for missed medication or periods of inactivity (e.g., if a user has not logged in for 2+ days)

AVJ Website contet (4).jpg
bottom of page