TriFetch Raises $1.9 Million to Automate Administrative Workflows for Specialty Clinics

New updates have been reported about TriFetch.

TriFetch has secured a $1.9 million pre-seed round led by Nexus Venture Partners to scale its AI platform that automates high-cost administrative workflows in independent specialty clinics, including patient calls, referral processing, and prior authorizations. Co-founded by CEO Varuni Sarwal and COO Rosemary He, both UCLA-trained PhDs in machine learning and medical AI, the company positions its system as an EMR-agnostic, plug-in layer that requires no EHR migration or staff retraining, targeting more than 50% savings on administrative costs and up to seven-figure annual impact for mid-size practices.

TriFetch is already running pilots across ophthalmology, cardiology, and GI clinics in California, where it reports freeing roughly 16 staff hours per day in one practice and returning more than $200,000 annually through recovered costs and captured revenue. With a multilingual voice agent for end-to-end call handling, a referral engine that automates eligibility checks and scheduling, and prior auth automation that reduces payer friction, TriFetch aims to become an AI-native operating layer for healthcare, expanding from independent specialty clinics into multi-specialty groups, primary care, and hospital-owned networks, guided by a strategic advisory cohort drawn from major U.S. health systems.