The full answer
Mental health data is among the most sensitive a person can share, so consent, minimisation and access control are design decisions, not settings. We encrypt journals, assessments and session notes in transit and at rest, limit who can see what by role, log every access, and let users export or delete their data where the law gives them that right.
Typical builds include onboarding with validated screening questionnaires, therapist or coach matching and booking, video and messaging sessions, mood and sleep tracking, self-guided CBT-style programmes and exercises, reminders, progress views for the user and the clinician, and a practice console for scheduling, notes and billing. Our MakeMyLook platform shows the booking and professional selection flows.
AI features are built conservatively. Assistants can help users reflect, surface relevant exercises, or draft session summaries for a clinician to review, but they are not positioned as therapy, they are evaluated against test sets before launch, and they escalate to a human or a crisis resource when risk language appears. No client or user data is used to train models.
Employers, insurers and health providers often sponsor these apps, so we design organisation-level reporting that shows aggregate wellbeing trends without exposing individuals. Hosting is placed in the region you require, with penetration testing before launch. A mental health MVP typically starts with one pathway, such as booking plus sessions, and grows from real usage.