Where research meets real-world impact.

RecoveryAI integrates behavioral science, data modeling, and adaptive AI into a platform that powers tools for lasting recovery support—always grounded in evidence and designed for people first.

The Problem

Recovery needs a smarter system

Despite millions starting their recovery journey each year, many face challenges in staying connected to consistent support—especially in moments that matter most.

Most digital tools rely on generic check-ins and delayed responses. But life in recovery isn’t generic; it’s personal and ever-changing, shaped by your routines, moods, and environment.

Ebby™ helps you stay on track by learning from your patterns, offering timely guidance, and connecting you to resources that fit your life—because recovery deserves smarter, faster, human-centered support.

Scientific Foundations

Ebby™ draws on interdisciplinary insights from:

Behavioral science and relapse-prevention theory

Behavioral science and relapse-prevention theory

Behavioral science and relapse-prevention theory

Behavioral science and relapse-prevention theory

Digital phenotyping and passive monitoring

Digital phenotyping and passive monitoring

Digital phenotyping and passive monitoring

Digital phenotyping and passive monitoring

AI-guided intervention systems

AI-guided intervention systems

AI-guided intervention systems

AI-guided intervention systems

Clinical research into sleep, pain, and substance use dynamics

Clinical research into sleep, pain, and substance use dynamics

Clinical research into sleep, pain, and substance use dynamics

Clinical research into sleep, pain, and substance use dynamics

Human-centered design in digital mental health

Human-centered design in digital mental health

Human-centered design in digital mental health

Human-centered design in digital mental health

Our models are informed by the latest research and continuously refined through structured pilot studies and user feedback.

Adaptive Support Engine

At the heart of RecoveryAI’s platform is our Adaptive Support Engine: a proprietary system that analyzes real-world behavioral signals to provide timely, personalized guidance that fits your recovery journey.

Real-Time Pattern Awareness

Ebby™ processes the inputs you choose to share—like journaling tone, usage patterns, wellness data, and location context—to help identify patterns and moments that matter to you.

Real-Time Pattern Awareness

Ebby™ processes the inputs you choose to share—like journaling tone, usage patterns, wellness data, and location context—to help identify patterns and moments that matter to you.

Real-Time Pattern Awareness

Ebby™ processes the inputs you choose to share—like journaling tone, usage patterns, wellness data, and location context—to help identify patterns and moments that matter to you.

Real-Time Pattern Awareness

Ebby™ processes the inputs you choose to share—like journaling tone, usage patterns, wellness data, and location context—to help identify patterns and moments that matter to you.

Dynamic Personalization

The system continuously adapts as new information comes in, keeping your support relevant and aligned with your evolving needs.

Dynamic Personalization

The system continuously adapts as new information comes in, keeping your support relevant and aligned with your evolving needs.

Dynamic Personalization

The system continuously adapts as new information comes in, keeping your support relevant and aligned with your evolving needs.

Dynamic Personalization

The system continuously adapts as new information comes in, keeping your support relevant and aligned with your evolving needs.

Just-in-Time Guidance

Ebby™ offers skills-based prompts, reflection exercises, or resource suggestions at the moments you’ve set or when certain user-defined conditions occur.

Just-in-Time Guidance

Ebby™ offers skills-based prompts, reflection exercises, or resource suggestions at the moments you’ve set or when certain user-defined conditions occur.

Just-in-Time Guidance

Ebby™ offers skills-based prompts, reflection exercises, or resource suggestions at the moments you’ve set or when certain user-defined conditions occur.

Just-in-Time Guidance

Ebby™ offers skills-based prompts, reflection exercises, or resource suggestions at the moments you’ve set or when certain user-defined conditions occur.

Continuous Learning

The Adaptive Support Engine refines its approach over time, learning from your interactions to make guidance feel more personal and effective.

Continuous Learning

The Adaptive Support Engine refines its approach over time, learning from your interactions to make guidance feel more personal and effective.

Continuous Learning

The Adaptive Support Engine refines its approach over time, learning from your interactions to make guidance feel more personal and effective.

Continuous Learning

The Adaptive Support Engine refines its approach over time, learning from your interactions to make guidance feel more personal and effective.

The Difference

Why RecoveryAI’s intelligent recovery system is different

Human-centered AI

Every feature starts with the user in mind. Our adaptive AI is designed to respect personal agency, protect privacy, and deliver guidance in a way that feels natural and supportive.

Human-centered AI

Every feature starts with the user in mind. Our adaptive AI is designed to respect personal agency, protect privacy, and deliver guidance in a way that feels natural and supportive.

Human-centered AI

Every feature starts with the user in mind. Our adaptive AI is designed to respect personal agency, protect privacy, and deliver guidance in a way that feels natural and supportive.

Human-centered AI

Every feature starts with the user in mind. Our adaptive AI is designed to respect personal agency, protect privacy, and deliver guidance in a way that feels natural and supportive.

Context-aware design

We integrate multiple types of input—behavioral, environmental, and wellness signals—to make support relevant to real life, not just app interactions.

Context-aware design

We integrate multiple types of input—behavioral, environmental, and wellness signals—to make support relevant to real life, not just app interactions.

Context-aware design

We integrate multiple types of input—behavioral, environmental, and wellness signals—to make support relevant to real life, not just app interactions.

Context-aware design

We integrate multiple types of input—behavioral, environmental, and wellness signals—to make support relevant to real life, not just app interactions.

Adaptive learning at scale

Our system continuously refines its timing, tone, and recommendations through ongoing interaction, ensuring support stays aligned with each person’s evolving needs.

Adaptive learning at scale

Our system continuously refines its timing, tone, and recommendations through ongoing interaction, ensuring support stays aligned with each person’s evolving needs.

Adaptive learning at scale

Our system continuously refines its timing, tone, and recommendations through ongoing interaction, ensuring support stays aligned with each person’s evolving needs.

Adaptive learning at scale

Our system continuously refines its timing, tone, and recommendations through ongoing interaction, ensuring support stays aligned with each person’s evolving needs.

Evidence-informed frameworks

We build on proven methods from behavioral science and psychology, blending them with modern design and AI capabilities to create tools that are both effective and approachable.

Evidence-informed frameworks

We build on proven methods from behavioral science and psychology, blending them with modern design and AI capabilities to create tools that are both effective and approachable.

Evidence-informed frameworks

We build on proven methods from behavioral science and psychology, blending them with modern design and AI capabilities to create tools that are both effective and approachable.

Evidence-informed frameworks

We build on proven methods from behavioral science and psychology, blending them with modern design and AI capabilities to create tools that are both effective and approachable.

We're addressing the whole recovery ecosystem.

RecoveryAI looks beyond cravings and mental triggers. True recovery is shaped by real-world barriers like housing instability, transportation gaps, and food insecurity—factors that quietly escalate risk over time.

Our platform integrates Health-Related Social Needs (HRSN) pathways to connect users with essential resources when they need them most.

Meet The Science Team

Joe Kossowsky

Co-Founder & Head of Scientific Strategy

Joe Kossowsky is an Assistant Professor at Harvard Medical School and a Clinical Researcher at Boston Children’s Hospital. He is a clinical psychologist and biomedical informatician who specializes in integrating wearable device data, developing adaptive intervention frameworks, and creating evidence-based strategies for substance use and behavioral health. At RecoveryAI, Kossowsky leads scientific validation efforts, clinical strategy, and ensures the ethical implementation of our technologies.

Joe Kossowsky

Co-Founder & Head of Scientific Strategy

Joe Kossowsky is an Assistant Professor at Harvard Medical School and a Clinical Researcher at Boston Children’s Hospital. He is a clinical psychologist and biomedical informatician who specializes in integrating wearable device data, developing adaptive intervention frameworks, and creating evidence-based strategies for substance use and behavioral health. At RecoveryAI, Kossowsky leads scientific validation efforts, clinical strategy, and ensures the ethical implementation of our technologies.

Joe Kossowsky

Co-Founder & Head of Scientific Strategy

Joe Kossowsky is an Assistant Professor at Harvard Medical School and a Clinical Researcher at Boston Children’s Hospital. He is a clinical psychologist and biomedical informatician who specializes in integrating wearable device data, developing adaptive intervention frameworks, and creating evidence-based strategies for substance use and behavioral health. At RecoveryAI, Kossowsky leads scientific validation efforts, clinical strategy, and ensures the ethical implementation of our technologies.

Joe Kossowsky

Co-Founder & Head of Scientific Strategy

Joe Kossowsky is an Assistant Professor at Harvard Medical School and a Clinical Researcher at Boston Children’s Hospital. He is a clinical psychologist and biomedical informatician who specializes in integrating wearable device data, developing adaptive intervention frameworks, and creating evidence-based strategies for substance use and behavioral health. At RecoveryAI, Kossowsky leads scientific validation efforts, clinical strategy, and ensures the ethical implementation of our technologies.

From consumer product to digital therapeutic

RecoveryAI is on a dual-track path:
Start simple and prove impact.

Immediate access through a direct-to-consumer model

Build toward clinical-grade care.

Long-term validation and FDA clearance as a reimbursable DTx

We are actively applying for NIH/NIDA funding and working with leading addiction treatment providers to validate impact across:

Relapse rates

Relapse rates

Relapse rates

Relapse rates

Recovery Capital

Recovery Capital

Recovery Capital

Recovery Capital

Health-related social outcomes

Health-related social outcomes

Health-related social outcomes

Health-related social outcomes

Long-term engagement and system scalability

Long-term engagement and system scalability

Long-term engagement and system scalability

Long-term engagement and system scalability

Want to be part of what we’re building?

Join the early access waitlist and experience the most advanced relapse prevention system ever built.

Want to be part of what we’re building?

Join the early access waitlist and experience the most advanced relapse prevention system ever built.

Want to be part of what we’re building?

Join the early access waitlist and experience the most advanced relapse prevention system ever built.

Want to be part of what we’re building?

Join the early access waitlist and experience the most advanced relapse prevention system ever built.

© 2025 Recovery AI, Inc. All rights reserved.

© 2025 Recovery AI, Inc. All rights reserved.

© 2025 Recovery AI, Inc. All rights reserved.

© 2025 Recovery AI, Inc. All rights reserved.