Knowtex

Making doctors 2x more efficient with AI note-taking & charge capture

Y CombinatorSummer 2022ActiveHealthcareHealthcare ITArtificial IntelligenceHealth TechB2BProductivity

What they do

Problem

Doctors face heavy documentation burdens and complex medical coding requirements that lead to burnout and lost reimbursement from improper documentation and charge capture.

Solution

Knowtex uses AI and voice technology to automatically generate clinical visit notes and suggest accurate, up-to-date diagnosis and billing codes for reimbursement.

Who it's for

Clinicians and healthcare organizations (e.g., doctors and hospital/clinic systems) who need automated documentation and coding support.

Founders

Caroline Zhang

Founder

Caroline is the CEO of Knowtex. Before Knowtex, she worked in biomedical research at the Salk Institute of Biological Studies, investment banking at Morgan Stanley, and AI research and policy initiatives at Schmidt Futures. Caroline graduated from Stanford University with her master’s degree in Computer Science (concentration in AI), and an undergraduate degree in Economics with a minor in International Relations.

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Jocelyn Kang

Founder

Jocelyn is the CTO of Knowtex. Before Knowtex, she worked at several startups in a variety of positions ranging from product manager to product designer to software engineer. She was a founding member of the product team at Learn to Win and has worked on AI/ML teams. Jocelyn graduated Phi Beta Kappa and Summa Cum Laude from Stanford University while pursuing an interdisciplinary degree in CS + Linguistics/Psychology, and a minor in Philosophy.