Opal utilizes clinician-driven conversational AI to provide mental health practices with between-session support, enhancing client engagement and retention through automated progress notes and session briefings. This technology addresses the inefficiency of therapy sessions, where significant time is often spent recapping past events, allowing clinicians to focus on care rather than documentation.
Funding
Funding not disclosed
Founders
Product
Problem
Mental health practices often spend significant time in therapy sessions recapping past events, which reduces the time available for direct care. Clinicians also face challenges in providing consistent support between sessions, potentially impacting client engagement and treatment outcomes.
Solution
Opal is an AI assistant designed to enhance mental health practices by providing between-session support and streamlining documentation. The platform uses clinician-driven conversational AI to engage clients, offer personalized wellness resources, and facilitate proactive care. Opal automatically generates session briefings and progress notes, reducing the administrative burden on clinicians and allowing them to focus on client needs. The system captures sessions and dictation with managed client consent, and offers one-click EHR integration.
Target Audience
Opal is designed for private and group mental health practices seeking to improve client engagement, reduce clinician burnout, and streamline administrative tasks.
Features
- AI-powered between-session support with personalized wellness resources
- Automated generation of session briefings and progress notes
- Secure session recording and dictation with fully managed client consent
- One-click integration with leading EHR systems
- Administrator dashboard for practice management and client monitoring
- High-risk detection in client communications
- Double-layer split-key encryption for enhanced data security
- Continuous security monitoring powered by Vanta