Maya Health embedded Speak AI’s interactive media players and back-end APIs into their platform to capture, transcribe, and analyze practitioner sessions, generating insights that support better treatment outcomes for psychedelic-assisted therapy.
Maya Health is building a platform designed to support psychedelic practitioners, including clinics, retreats, and research studies. The team, including VP of Product Alex Edwards and others, recognized that effective psychedelic-assisted therapy requires careful documentation and analysis of practitioner sessions to understand what works and improve outcomes over time.
Practitioners needed tools to capture audio and video notes from clinical sessions without disrupting the therapeutic process. The platform needed to automatically analyze those recordings to generate insights that could benefit both practitioners and patients. And the aggregated data needed to inform the development of better therapeutic protocols and self-healing approaches.
Maya Health integrated Speak AI’s front-end media tools and back-end APIs to build a comprehensive practitioner data collection and analysis system.
Speak AI’s embeddable media player and recorder were integrated directly into Maya Health’s platform, giving practitioners a native recording experience. Clinicians could capture session notes without leaving the platform or using separate tools.
Speak AI’s APIs handled the back-end data pipeline, routing practitioner recordings through automated transcription and analysis. This created a seamless flow from session capture to structured, analyzable data.
Recorded sessions and entries were automatically analyzed to generate insights about treatment patterns, session content, and practitioner approaches. This data supported both individual practitioner improvement and broader protocol development.
The systematic capture and analysis of practitioner sessions created a growing dataset that could inform research on treatment outcomes, support evidence-based protocol development, and help improve self-healing approaches over time.
Health tech platforms can embed recording and analysis natively: By integrating Speak AI’s media tools and APIs directly into the platform, Maya Health gave practitioners a seamless experience without third-party app switching.
Automated analysis creates scalable practitioner insights: Manual review of clinical sessions does not scale. Automated transcription and analysis made it practical to generate insights from every session, not just a selected sample.
Systematic data collection supports evidence-based therapy development: Consistent, automated capture across practitioners and sessions created a dataset that could inform treatment protocol improvements and research initiatives.
API-first integration enables custom health tech workflows: Speak AI’s API and webhook infrastructure allowed Maya Health to build custom data flows specific to their clinical workflow requirements rather than adapting to a rigid off-the-shelf product.
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