TriFetch raises $1.9M for clinic automation

TriFetch secures $1.9M in pre-seed funding to automate administrative tasks like calls, referrals, and prior authorizations for specialty clinics.

Daniel Singer

Editor, StartupHub.ai

Apr 28 at 1:59 AM2 min read

TriFetch automation software streamlines specialty clinic administrative tasks — TriFetch's new automation layer helps specialty clinics reduce administrative burden.

Key Takeaways

1
TriFetch emerges from stealth with $1.9 million in pre-seed funding to automate administrative tasks for specialty clinics.
2
The company targets patient calls, scheduling, referral processing, and prior authorizations, aiming to cut administrative costs by over 50%.
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Founded by UCLA PhDs in AI and healthcare, TriFetch aims to bring advanced automation to independent clinics struggling with manual workflows.

TriFetch is launching its platform to automate the administrative burdens plaguing independent specialty clinics. The company announced a $1.9 million pre-seed funding round led by Nexus Venture Partners.

The startup targets core workflows: patient calls and scheduling, referral processing, and prior authorizations. TriFetch aims to reduce administrative costs by more than 50% and increase revenue.

"Clinics are doing everything they can to keep up, but the administrative workload keeps expanding," said Varuni Sarwal, CEO and co-founder.

TriFetch's AI-powered platform handles patient inquiries, outbound scheduling, and follow-ups via a multilingual voice agent. Its referral engine manages routing, eligibility verification, and patient booking.

The prior authorization automation submits and tracks requests, preventing payment delays. The system integrates directly into existing clinic operations without requiring EHR migration.

"Clinics don't need more software where every new tool adds another tab, another login, another thing to learn; they need less friction," stated co-founder and COO Rosemary He.

The company is currently running pilots in California. One GI practice saw TriFetch handle 100 referrals daily, freeing up 16 staff hours and saving over $200,000 annually.

Dr. Shashi Ganti, Ophthalmologist at Cal Retina MD, noted, "Working with TriFetch, we've been able to relieve our staff from managing patient calls and scheduling."

TriFetch aims to become the AI-native operating layer for healthcare systems, expanding beyond independent clinics nationwide.

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Written by

Daniel Singer

Editor, StartupHub.ai

Daniel Singer is the editor of StartupHub.ai, a technology expert and thought leader on AI and its applications across sectors, from fintech and healthcare to developer tooling and consumer software. He writes and tests the tools covered here thoroughly and regularly, and built StartupHub.ai to give founders, operators and buyers a clearer read on what they are actually being sold.