How We Started
TherapyForm AI emerged from a structural problem in mental health practice: intake forms are time-intensive to build and rarely require reinvention. Solo practitioners and small groups spend hours constructing documents that are then reused across dozens of clients with minor variations.
The key insight came from regulatory analysis of the practice management software market. Platforms like SimplePractice, Jane App, and IntakeQ offer PHQ-9 and GAD-7 scoring in intake workflows without FDA clearance—not because they avoid clinical content, but because intake forms are data-collection instruments. Their regulatory classification depends on intended use and output, not the underlying generation method.
TherapyForm AI applies the same principle with LLM tooling. This isn't a diagnostic device or a therapeutic intervention. It's practice automation for document creation, scoped to remain within established intake-workflow norms.
The operator profile—solo founder, AI/LLM tooling expertise, $20-50K capital, 2-6 week MVP timeline—reflects the market opportunity: a $5-10M addressable niche at 5-10% capture within a $4.2B practice management software market. No credential gate blocks entry. The remaining barriers are therapist trust (addressable through positioning and free-tier sampling) and narrow willingness-to-pay (addressable through pricing tiers and clinical advisor partnerships).
The regulatory framing is explicit: intake form generation with PHQ-9/GAD-7 scoring, designed as data-collection output, not diagnostic or therapeutic output. Practice operators remain responsible for final review of all generated forms.