Unmute uses machine learning alogrithms to increase the match and long-term success rate for patients seeking therapy. Although the #1 indicator of therapeutic success is the patient-therapist fit, 1 in 2 adults will drop out of therapy due to a lack of therapist fit and remain at risk. Unmute focus on match quality provids quicker therapeutic results for patients, reduced costs for health insurers, and increased LTV of clients for therapists. We’ve had some incredible results thus far:
- 500+ patients matched
- 91 Net Promoter Score
- 92% of Unmute users continue seeing their matched therapist after their 3rd session, whereas 50% of US adults will drop out by session 3 due to a lack of therapist fit
As a go-to-market strategy, Unmute launched as a B2C play, charging patients a matching fee of $35 and offering weekly peer support groups for marginalized communities at $50/month. To scale, Unmute is developing a B2B model by licensing and white labeling their therapist matching solution to health insurance companies.
Additional Info
Sponsorship Level
StartUp