🌊 Trellis AI: Automate your Pre-sevice workflow⚡️

TL;DR

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.

❌ Problem — Administrative costs are delaying care and draining revenue

Over 20% of U.S. healthcare spending goes toward administrative costs, delaying care, reducing revenue, and driving staff burnout—while leaving providers with less visibility into patient care than ever before.

Prior authorizations, appeals, and pre-service documentation are some of the biggest bottlenecks to timely treatment. Manual processing is slow, error-prone, and costly—leading to delayed treatments, increased denial rates, and frustrated patients.

🎉 Solution

Our AI agent is trained on millions of clinical data points and converts messy, unstructured documents into clean, structured data directly in your EHR—at scale.

We handle the heavy lifting:

• Automating document intake from faxes, PDFs, and scanned forms
• Processing prior authorizations and appeals with high accuracy
• Integrating directly into EHR workflows so staff can focus on care, not paperwork

Trellis in action: Processing hundreds of pages per patient case to identify missing information, complete submissions, and accelerate treatment approvals.

🏃🏽‍♂️ Leading healthcare organizations use Trellis to:

• Reduce time to treatment by over 90%—ensuring patients start therapy faster
• Improve prior authorization approval and reimbursement rates—reducing revenue leakage
• Leverage structured data for better clinical decision-making—enhancing drug program performance and patient outcomes

About Us:

Mac & Jacky are friends from the Stanford AI Lab, where we spent too much time indoors building language models and hoping they’d talk back 🧠💻

Previously, Mac built LLM infra at Cresta and Moveworks where our ML pipelines processed terabytes of chat logs and voice calls. Jacky taught AI classes at Stanford and worked at Meta on real-time machine learning systems handling complex model deployment challenges.

Trellis is a spinout from Stanford AI Lab and is backed by leading investors including YC, General Catalyst, Telesoft Partners, and executives at Google and Salesforce.