MNSTRY provides an agentic platform that lets therapists, coaches, and other practitioners extend their client work beyond live sessions using AI that responds in the practitioner’s own voice and adheres to defined limits. The system supports one‑on‑one guidance, cohort programs, and whole practitioner networks, offering secure transcription of live sessions and continuous, methodology‑aligned assistance between appointments. This helps maintain client engagement and deepens the therapeutic relationship throughout the client’s day‑to‑day life.
Funding
Funding not disclosed
Founders
Product
Problem
Coaches and therapeutic practitioners often struggle to maintain client engagement and reinforce their methodology between live sessions, leading to loss of momentum and reduced outcomes. Existing chat solutions are generic and lack the practitioner’s voice, methodology, and confidentiality safeguards.
Solution
MNSTRY provides an AI‑powered platform that extends a coach’s or therapist’s methodology into clients’ daily lives. After each live session, the system creates a secure transcript and generates a personalized chatbot that answers in the practitioner’s voice, referencing the specific practices and language used during the session. The AI operates within defined limits, escalating to the human practitioner when needed, and respects client consent for sharing information. By surfacing recurring patterns and progress over time, the platform enables practitioners to start subsequent sessions with a clear view of the client’s recent work, focusing on current challenges rather than recapping past events.
Target Audience
Primary users are individual coaches, therapists, and facilitators of transformational group programs who need to sustain client engagement between sessions.
Features
- Secure, end‑to‑end encrypted transcription of live sessions for accurate context capture
- Customizable AI chatbot that mimics the practitioner’s language and delivers method‑specific guidance
- Consent‑driven sharing controls allowing clients to decide what information is visible to the practitioner
- Pattern‑recognition analytics that surface recurring themes and progress across client interactions
- Support for one‑on‑one coaching, cohort programs, and network‑wide practitioner deployments
- Escalation workflow that flags situations beyond the AI’s scope for human follow‑up