A newly launched connected care company is targeting one of mental healthcare’s most persistent challenges: nearly half of therapy clients discontinue treatment within the first month, leaving both patients without support and clinics facing significant revenue loss.
ReliefAI Health Inc., backed by LG NOVA, LG Electronics’ North American Innovation Center, has developed an AI-driven digital cognitive behavioral therapy platform designed to strengthen engagement between mental health practitioners and their clients. The mobile app enables therapists to monitor client progress on a daily or hourly basis, providing a more comprehensive view of mental health patterns beyond traditional weekly sessions.
According to the company, 44 percent of clients discontinue therapy within the first four weeks, representing what it describes as a critical breakdown in care delivery. The platform aims to address this gap by adjusting communication methods and engagement frequency, allowing providers to gather more granular data on daily challenges and progress.
Strengthening the Therapeutic Relationship Through Technology
ReliefAI Health extends therapeutic support beyond weekly sessions through AI-driven engagement tools delivered via existing provider relationships.
ReliefAI Health positions itself differently from other digital mental health solutions by delivering its platform through existing outpatient clinics rather than creating a separate provider network. According to the company, this model preserves the trusted relationship between therapist and client while extending support beyond scheduled appointments.
“Despite the demand for mental healthcare, 44 percent of clients discontinue therapy within the first four weeks. This represents a critical breakdown in the therapy process, leading to poor outcomes for clients and significant revenue loss for clinics,” said Atul Singh, CEO of ReliefAI Health. “We’ve created a solution that strengthens the connection between therapist and their clients and provides a bigger picture of the experience beyond the traditional session. By integrating our AI-powered tools, we are not just going beyond therapy; we are creating a new paradigm of digital empowerment for mental health that drives better results for everyone involved.”
The platform includes a patient-facing mobile app with features such as mood tracking, voice journaling with AI insights, and therapist-assigned CBT goal setting. An integrated provider dashboard syncs with existing electronic health record systems, providing therapists with real-time patient activity trends, AI-driven alerts, and tools for assigning and monitoring cognitive behavioral therapy activities.
Research indicates that guided web-based intervention tools reduce patient dropout rates by approximately 2.7 times compared to unguided tools—72 percent retention versus 26 percent, according to studies cited in the release. However, adoption of such guided tools remains low at just 16 percent among providers, according to the company, presenting what it describes as a significant opportunity for improving patient retention and outcomes.
Revenue Enhancement and Clinical Efficiency
Beyond clinical benefits, ReliefAI Health offers providers new revenue streams through remote therapeutic monitoring services. According to proprietary third-party research cited by the company, the platform creates a 66 percent revenue upside for practices through automated delivery and billing of RTM services.
For providers navigating capacity constraints, the technology aims to improve efficiency, potentially enabling clinicians to serve more clients amid growing demand for mental health services. The platform is HIPAA-compliant and features end-to-end data encryption, role-based access control, and continuous risk assessment.
Early implementation at Potomac Highlands Guild in West Virginia demonstrates the platform’s application in substance use disorder treatment. The integration extends beyond traditional therapy sessions to support individuals throughout their recovery journey, according to those involved in the deployment.
“Our experience deploying technology-driven recovery solutions laid the foundation for truly innovative support. By integrating the ReliefAI Health app into this comprehensive platform, we’ve taken another step forward, enhancing the recovery experience and strengthening long-term outcomes for individuals on their journey with substance use disorder,” said Raj Masih, CraveAlert Co-founder and Project Director of RPM at Potomac Highlands Guild, West Virginia.
Strategic Collaboration and LG NOVA’s Vision
The venture reflects LG NOVA’s focus on building businesses that address societal challenges. ReliefAI Health has collaborated with startups in the LG NOVA Innovation Program, including Canary Speech, a voice AI technology for healthcare that screens for cognitive and behavioral conditions; VeeOne, a technology platform for virtual healthcare; and Continicare Corp, a platform for treating and managing mental illness.
This collaborative ecosystem approach enables ReliefAI Health to integrate multiple technologies—from voice biomarkers to care management frameworks—into a unified platform. The partnership model reflects LG’s broader strategy of leveraging external innovation to address complex healthcare challenges that require multifaceted solutions.
“LG Electronics, through our brand values, has always been a proponent of improving people’s well-being through our products and brand mission of ‘Innovation for a Better Life.’ At LG NOVA, we’re building new ventures that tackle significant societal challenges and contribute to a better future,” said Dr. Sokwoo Rhee, Executive Vice President of Innovation at LG Electronics and Head of LG NOVA. “We see a crucial opportunity for technology to transform mental healthcare by strengthening the vital relationship between therapists and their clients. ReliefAI Health answers that need.”
The collaboration with Canary Speech exemplifies this integration strategy. By incorporating voice AI technology, the platform can potentially identify early warning signs of cognitive or behavioral changes that might otherwise go undetected between therapy sessions. This capability could enable earlier clinical intervention when patients begin to struggle.
“By working alongside innovative collaborators like LG NOVA for ReliefAI Health, we can advance a future where ambient voice biomarkers and real-time engagement tools give clinicians the clarity they need to intervene earlier, personalize care, and ultimately improve patient outcomes,” said Henry O’Connell, CEO and Co-Founder of Canary Speech.
Leadership and Advisory Expertise
ReliefAI Health is led by CEO Atul Singh, who brings 25 years of experience in digital healthcare, having built and scaled digital health businesses for companies including Teva, AbbVie, and Walgreens. Davide Di Censo, Head of Engineering and Product, has a 15-year track record in emerging technologies and human-centered design, including building LG’s first telehealth platform.
The company is supported by a clinical and AI advisory panel that includes Dr. Brian Shaw, co-creator of CBT; Dr. Dan Lieberman, Senior VP of Mental Health at Hims & Hers; and Kimberly McManus, Deputy CTO of AI at the U.S. Department of Veterans Affairs. This combination of operational leadership and advisory expertise positions the company to navigate both technical development and clinical validation requirements.
Adoption Challenges and Market Realities
While ReliefAI Health addresses genuine pain points in mental healthcare delivery, several factors will influence adoption trajectories. Integrating new technology into clinical workflows requires provider training, system compatibility, and cultural buy-in—challenges that have slowed digital health adoption across specialties.
Therapists accustomed to traditional practice models may require evidence that increased monitoring enhances rather than complicates the therapeutic relationship. Some practitioners express concern that technology-mediated care could diminish the human connection essential to effective therapy, particularly if patients perceive monitoring as surveillance rather than support.
The platform’s revenue model through remote therapeutic monitoring depends on reimbursement policies that vary by payer and state. Providers will need clear guidance on billing codes, documentation requirements, and coverage criteria to realize the projected financial benefits.
Patient adoption also presents challenges. Digital health tools require consistent engagement, yet many individuals experiencing mental health crises struggle with self-management tasks. The platform’s effectiveness depends on patients using the app regularly and therapists responding to alerts promptly—both requiring sustained behavior change.
Privacy concerns may also influence uptake. While the platform is HIPAA-compliant, patients may hesitate to share daily mood data and voice recordings, particularly given heightened awareness of data breaches and potential insurance discrimination.
Looking Ahead: Technology as Therapeutic Support
ReliefAI Health’s launch reflects broader recognition that mental healthcare delivery models must evolve to meet demand that far outpaces provider capacity. Technology cannot replace the therapeutic relationship, but tools that extend support between sessions may help bridge gaps in care continuity.
For therapists navigating waitlists and under-resourced practices, platforms that provide actionable insights while maintaining clinical oversight could improve both efficiency and outcomes. The challenge lies in implementation: ensuring technology enhances rather than burdens existing workflows, and that data collection translates into meaningful clinical action.
For patients, consistent access to therapeutic support—even digitally mediated—may reduce the isolation and hopelessness that contribute to treatment dropout. The ability to track progress, identify triggers, and maintain connection with their therapist between appointments could provide the scaffolding needed to sustain engagement during difficult periods.
Ultimately, the success of platforms like ReliefAI Health will be measured not by features or revenue potential, but by whether they meaningfully reduce the 44 percent dropout rate they aim to address—ensuring that people seeking mental health support receive the continuous, compassionate care they need to achieve lasting recovery and well-being.
– This original article was created with AI support.
