##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.

Trellis helps healthcare providers treat more patients, faster—while eliminating pre-service paperwork.

We do this by automating document intake, prior authorizations, and appeals at scale to streamline operations and accelerate care.

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.

🧍🏻‍♂️Why work with us

• Be at the forefront of what's possible in AI and Healthcare data.
• Work on the most important problem of our time—with direct, measurable impact.
• You will work closely with the F500 customers and the founding team. You will get to wear multiple hats from sales and marketing to recruiting.
• Extreme ownership: you will own key part of Trellis business operations and have the opportunities to start new initiatives.
• Be a part of a world-class team (e.g., team members have previously won the international physics olympiad, published economics research, were a founding engineer at Unicorn Startup, and taught AI classes to hundreds of Stanford graduate students).

Requirements

• Experience architecting, developing, and testing full-stack code end-to-end
• Expertise in programming languages such as Python, Go and ML/NLP libraries such as PyTorch, Tensorflow, Transformers.
• Being proactive and a fast-learner with bias for action.
• Open source contributions and projects are a big plus.
• Experience working with relational and non-relational databases, especially Postgres
• Experience with data and ML infra
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus.