TriFetch, an artificial intelligence healthcare startup building automation tools for independent specialty clinics, has raised $1.9 million in pre-seed funding to accelerate the development of its AI-powered platform. The round was led by Nexus Venture Partners, with participation from angel investors affiliated with organizations including Google, Hippocratic AI, Mercor, and MIT. The company plans to use the capital to expand its automation platform, grow its team, and help specialty clinics reduce the administrative burden that takes time away from patient care.

Founded in 2024 by Varuni Sarwal and Rosemary He, TriFetch is developing an AI automation layer designed specifically for independent specialty clinics and multi-specialty medical groups. The company focuses on automating some of the most time-consuming administrative workflows in healthcare, including patient calls and scheduling, referral processing, and prior authorization management.

TriFetch was created around a challenge faced by many healthcare providers: administrative work continues to grow while clinics often operate with limited staff and resources. Tasks such as answering patient calls, coordinating referrals, and obtaining insurance approvals can require significant manual effort, creating delays for patients and increasing workload pressure on healthcare teams. The company aims to address these challenges by deploying AI systems that can handle repetitive operational tasks while allowing staff members to focus on higher-value patient interactions.

The company’s platform acts as an automation system that connects with existing clinic operations rather than requiring healthcare organizations to replace their current technology infrastructure. TriFetch’s AI tools are designed to support front-office, middle-office, and back-office workflows, helping clinics manage communication, documentation, and administrative coordination more efficiently.

A major area of focus for TriFetch is patient communication. The company has developed AI voice agents capable of answering patient calls, handling common questions, scheduling appointments, and managing follow-up interactions. By automating these processes, TriFetch aims to help clinics respond more quickly to patients while reducing the amount of time staff spend handling routine requests.

The startup is also addressing referral management and prior authorization workflows, two areas that often create operational challenges for specialty practices. Referral coordination can involve multiple communications between providers, patients, and healthcare organizations, while prior authorizations frequently require extensive documentation and follow-up with insurers. TriFetch’s platform is designed to streamline these processes through artificial intelligence and workflow automation.

The newly raised funding will support TriFetch as it expands its product capabilities and increases adoption among specialty healthcare providers. The company plans to continue developing its AI technology, deepen integrations with healthcare systems, and grow its customer base across medical specialties.

The investment was led by Nexus Venture Partners, an early-stage venture capital firm that invests in technology companies across sectors. The round also included support from angel investors connected to Google, Hippocratic AI, Mercor, and MIT, bringing experience from artificial intelligence, healthcare technology, and research communities.

TriFetch’s founders bring backgrounds in machine learning and medical artificial intelligence. Sarwal and He met while completing PhDs at UCLA, where their research focused on applying advanced computational techniques to healthcare challenges. Their experience in AI and medical applications influenced the company’s mission to build practical automation tools that address everyday problems faced by healthcare providers.

The funding round comes as healthcare organizations increasingly explore artificial intelligence to improve operational efficiency. While much of the attention around healthcare AI has focused on diagnostics and clinical decision support, companies like TriFetch are targeting administrative workflows that affect the daily operations of medical practices. By automating routine processes, these platforms aim to reduce costs, improve patient experiences, and allow healthcare workers to dedicate more time to direct care.

TriFetch is positioning itself as an AI infrastructure provider for specialty clinics, with a long-term goal of becoming a comprehensive automation platform for healthcare operations. The company believes that reducing administrative complexity can help independent practices remain efficient while maintaining a stronger focus on patient care.

With its pre-seed financing secured, TriFetch plans to continue refining its technology and expanding its presence among specialty healthcare providers. As medical practices face increasing operational demands, the company aims to provide AI-powered tools that simplify workflows, reduce paperwork, and create a more efficient healthcare experience for both providers and patients.

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