Trellis AI
AI for streamlining healthcare paperwork
What they do
Healthcare providers waste significant time and money on pre-service paperwork like document intake, prior authorizations, and appeals, delaying patient treatment and revenue.
Trellis AI uses an AI agent trained on clinical data to automate intake and authorization workflows by converting unstructured documents into structured data directly in the EHR.
Healthcare providers and pharmaceutical companies that manage high volumes of prior authorizations and related administrative workflows.
Founders
Mac is the co-founder and CEO of Trellis. Previously, he worked at the Stanford AI lab on large multimodal models for Stanford Health and built ML infrastructure at Cresta, Moveworks, and Amazon.
Jacky is a co-founder of Trellis and has taught hundreds of Stanford graduate students how to build, train, and deploy AI models in the Stanford School of Engineering & Graduate School of Business. Previously, he worked at Meta, the World Bank, and Wayfair.
Open roles 21
Company timeline
- Founded2024
- YC batchWinter 2024
- StatusActive
- Team size25 people
- LocationSan Francisco, CA, USA
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