Join Date
October 2024
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About Mac Klinkachorn
Mac is the co-founder and CEO of Trellis. Previously, he worked at the Stanford AI lab on large multimodal models with the DoD and built ML infrastructure at Cresta, Moveworks, and Amazon. Mac started his first company at 15, building water leak detection systems, and grew it to six figures in ARR.
Companies & Work
Trellis
Trellis helps healthcare providers treat more patients, faster—while eliminating pre-service paperwork.
We automate document intake, prior authorizations, and appeals at scale to streamline operations and accelerate care.
Our AI agent is trained on millions of clinical data points and converts messy, unstructured documents into clean, structured data directly in your EHR.
With Trellis, leading healthcare providers and pharmaceutical companies were able to:
1. Reduce time to treatment by over 90%
2. Improve prior authorization approval and reimbursement rates
3. Leverage structured data to enhance drug program performance and clinical decision-making
Administrative costs account for over 20% of U.S. healthcare spending—delaying care, draining revenue, and driving staff burnout while having less visibility into patient care than ever before. We built Trellis to tackle this head on.
We automate document intake, prior authorizations, and appeals at scale to streamline operations and accelerate care.
Our AI agent is trained on millions of clinical data points and converts messy, unstructured documents into clean, structured data directly in your EHR.
With Trellis, leading healthcare providers and pharmaceutical companies were able to:
1. Reduce time to treatment by over 90%
2. Improve prior authorization approval and reimbursement rates
3. Leverage structured data to enhance drug program performance and clinical decision-making
Administrative costs account for over 20% of U.S. healthcare spending—delaying care, draining revenue, and driving staff burnout while having less visibility into patient care than ever before. We built Trellis to tackle this head on.
