Funding
Funding not disclosed
Founders
Product
Problem
Behavioral health practices often struggle with high no-show rates, fragmented after-hours support, and time-consuming administrative tasks such as intake, scheduling, and eligibility verification. These inefficiencies reduce clinician availability for direct patient care and can lead to lower client retention. Additionally, patients may fall through the gaps between therapy sessions without continuous monitoring.
Solution
Vybz offers AI-driven agents that automate front‑office operations and provide continuous patient engagement for behavioral health providers. The Front Office Agent handles appointment confirmations, reminders, eligibility checks, and 24/7 phone reception, reducing missed appointments without adding clinical workload. The Companion Agent conducts personalized between‑session check‑ins, collecting mood, sleep, and other health indicators, and compiles detailed reports for clinicians before each visit. An Intervention Agent monitors for emerging crises, delivering real‑time guidance and escalating to a clinician when needed. By offloading administrative and monitoring tasks to AI, Vybz frees clinicians to focus on therapeutic work while maintaining round‑the‑clock patient support.
Target Audience
Vybz is designed for solo therapists, small group practices, and larger behavioral health clinics that need to streamline administrative tasks and provide continuous patient support between sessions.
Features
- AI receptionist and voice phone agent that answers practice questions, books visits, and verifies eligibility 24/7
- Automated appointment reminders and confirmation workflows that cut no‑show rates
- Personalized between‑session check‑ins that track mood, sleep, and other indicators, generating clinician reports before each session
- Crisis‑intervention agent that detects emerging mental‑health emergencies and escalates to clinicians in real time
- Secure, privacy‑first data handling compliant with health‑care regulations
- Integration-friendly design that fits into existing practice management systems without requiring extensive workflow changes