QuietChart
An on-device AI session assistant that drafts notes, tracks patterns, and writes follow-ups for therapists without sending a single word to the cloud.
licensed therapists and counselors who want AI help but fear cloud exposure of PHI
- Local session-note summarization with on-device redaction of identifying details
- Cross-session pattern tracker (themes, mood shifts) that never leaves the laptop
- Drafts follow-up emails and treatment-plan updates in the therapist's own voice
- One-click encrypted export to common EHRs and practice-management tools
Cloud AI scribes (Freed, Abridge) are raising fresh HIPAA questions for solo and group-practice therapists, and a Mac-native local agent eliminates the entire BAA-and-breach risk vector overnight.
Multiple articles document therapists' active anxiety about cloud AI scribes; HHS OCR proposed major HIPAA Security Rule update Jan 2025 citing AI/PHI risks; therapists report 3-6 hours/week on documentation, creating strong pull for any alternative.AI Scribes in the Therapy Room: How Cloud Recording Tools Are Creating a Mental Health Privacy Crisis ↗When AI Technology and HIPAA Collide ↗
Niche is forming fast — BasilAI, InsiderLLM, MetaWhisp, and LocalAIMaster are already publishing guides marketed at this exact on-device-for-therapists angle — but no dominant dedicated Mac-native product yet, suggesting competitors are converging in.Local AI for Therapists: Session Notes, Treatment Plans, and Client Letters ↗Local AI for Therapists: Private Session Notes & SOAP Drafting (2026) ↗
Therapists already pay $50-150/month for AI scribes (Freed $99-149, PatientNotes $50) and pay for EMR add-ons, proving willingness to pay for documentation time-savers.Freed vs. Abridge: Which AI Medical Scribe Is Better? [2026] ↗Freed AI Review 2026: Pricing, Pros, Cons & 4 Alternatives ↗
On-device AI on Apple Silicon is structurally favored — Apple MLX beats llama.cpp by 30-40% on M5, Core ML runs Llama 3.1 8B on M1, and HIPAA/OCR enforcement is tightening, both durable multi-year tailwinds.Apple Silicon LLMs: Run AI Models on Mac (MLX, 2026) ↗On Device Llama 3.1 with Core ML - Apple Machine Learning Research ↗
Proven local stack — Llama 3.1 8B documented on Core ML, MLX available, Whisper runs locally; main hurdles are session UX, multi-hour audio transcription latency on M-series, and gating to Apple Silicon customers only.Running LLMs on Apple Silicon: Inside M4/M5 Architecture for AI Inference ↗