Clinch

Clinch is a digital patient support platform that empowers individuals to understand and follow through with their treatment plans. Whether it’s chronic illness, medication adherence, or post-consultation confusion, Clinch ensures every patient receives personalized, AI-powered guidance after leaving the doctor’s office. The platform combines health education, visual recovery journeys, and reminders into a seamless, human-centered experience.

Healthcare breakdown begins after diagnosis.

Patients forget or misunderstand treatment instructions.

Poor follow-up leads to low adherence and readmissions.

Underserved communities lack access to ongoing support.

Health systems bear the cost of preventable complications.

Clinch bridges this post-consultation gap with smart, accessible support tools.

Clinch leverages AI to simplify complex health guidance and keep patients engaged:

Personalized Health Education

AI generates plain-language summaries of doctor consultations

Includes visuals and animations to illustrate diagnosis and treatment

Recovery Journey Support

Step-by-step instructions matched to individual conditions

Medication reminders adapt based on patient behavior

Conversational Assistant

Patients ask questions about symptoms or medication

AI responds with context-aware, reviewed responses

Human-in-the-Loop Support

Every AI-generated message is reviewed by trained health professionals

Combines automation with trust-building human care

Reduces hospital readmissions through better follow-through

Improves treatment adherence and patient confidence

Supports underserved and low-literacy communities

Builds the foundation for hybrid AI + nurse-supported care

B2B licensing to clinics, health systems, and insurers

White-labeled support for government and NGO health initiatives

Subscription pricing for usage-based access

Working prototype live on cloud infrastructure

Active pilot with real patient support use cases

Using GPT-4o and edge functions to personalize content

R1 million in grant support from TIA

Goal: Become the gold standard in digital patient support by 2035

300–500 GPU hours/month needed

Supabase-based backend with serverless functions

Future plans for voice support, reinforcement learning, and fine-tuned LLMs

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