TriFetch, a San Francisco-based healthtech startup, has raised $1.9 million in pre-seed funding led by Nexus Venture Partners, with angel participation from operators at Google, Hippocratic AI, Mercor and MIT.
The company is coming out of stealth today with an end-to-end AI automation platform for independent speciality clinics, targeting the three workflows that consume the most staff time: patient calls and scheduling, referral processing, and prior authorisation.
Founded in 2024 by female founder duo Varuni Sarwal and Rosemary He, who met during their PhDs at UCLA, the company focuses on eliminating routine tasks that consume staff time and increase burnout.
Its platform includes a voice agent that answers patient calls, handles common questions, schedules appointments and follows up when needed. It also automates referral processing by routing inbound requests, checking eligibility and helping clinics book patients while keeping humans involved where necessary. The third pillar is prior authorisation management, where insurers often create long delays and extra manual work.
The platform integrates with systems such as NextGen, eCW, and Athena, allowing clinics to go live in weeks rather than endure lengthy, disruptive software migrations.
“The traditional approach is to hire more staff. That’s expensive, prone to burnout, and doesn’t scale. Clinics have been patching this with more headcount for decades. TriFetch augments this workflow so that it works alongside the staff, taking care of what they most dread to do with an AI that works 24/7, speaks multiple languages, and never calls in sick,” shares Sarwal.
Today, TriFetch has a lean team of five employees and expects to grow to 15 by the end of the year as it scales customer success and market expansion. The roadmap includes expanding geographically, deepening integrations with healthcare software systems, and moving beyond speciality clinics into multi-speciality groups, primary care and hospital-owned networks.
