CoTherapy offers an AI‑powered intersession coaching platform that lets licensed clinicians configure the assistant to follow their specific therapeutic model—such as IFS, CBT, or psychodynamic—so client interactions stay aligned with the therapist’s approach. Between appointments the AI provides 24/7 guidance, helps clients practice skills and process insights, then flags key moments and themes for the therapist to review before the next session, without generating full transcripts.
Funding
Funding not disclosed
Founders
Product
Problem
Clients often experience gaps in therapeutic support between scheduled sessions, leading to missed opportunities for skill practice and insight integration. Therapists lack efficient tools to monitor and guide these intersession experiences without reviewing extensive transcripts, which can be time‑consuming and raise safety concerns.
Solution
CoTherapy offers an intersession AI coaching platform that therapists configure to match their chosen therapeutic model—such as IFS, CBT, or psychodynamic—while defining explicit boundaries for safe interaction. The AI provides clients with 24/7, on‑demand guidance that reinforces session work, helps process insights, and encourages skill practice. Therapists receive concise summaries of flagged moments and emerging themes before the next appointment, eliminating the need to read full conversation logs. Early‑warning alerts highlight concerning patterns, enabling timely clinical intervention. The system is built in collaboration with licensed clinicians to ensure alignment with professional standards and treatment plans.
Target Audience
Primary users are licensed mental‑health professionals—psychologists, psychiatrists, counselors, and social workers—who deliver evidence‑based therapies and seek scalable support for their clients between appointments.
Features
- Customizable clinical framework allowing therapists to set therapeutic approach, boundaries, and reinforcement goals
- AI‑driven intersession coaching that operates continuously, offering guidance aligned with the therapist’s model
- Automated summarization of key client interactions with flagged themes for quick therapist review
- Early‑warning detection of concerning patterns to prompt proactive clinical response
- Secure, clinician‑designed architecture that prioritizes data privacy and clinical safety
- Integration of skill‑practice prompts and insight‑processing tools to sustain therapeutic momentum between sessions