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:
Reduce time to treatment by over 90%
Improve prior authorization approval and reimbursement rates
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.
Our computer-use AI agents process billions of dollars worth of therapies annually with patients in all fifty states. We do this by automating document intake, prior authorizations, and appeals at scale to streamline operations and accelerate care. We classify medical referrals, understand chart notes, and automate contract and reimbursement search to provide patients with accurate coverage determinations and cost responsibility. Think of us as the Stripe of healthcare billing and reimbursements.
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.
fulltimeSan Francisco, CA, USFull stack$100K - $225K0.10% - 1.50%Any (new grads ok)
fulltimeSan Francisco, CA, US / Remote (US)$60K - $110K0.10% - 1.00%Any (new grads ok)
fulltimeSan Francisco, CA, USFull stack$100K - $225K0.10% - 1.50%Any (new grads ok)
fulltimeSan Francisco, CA, USFull stack$100K - $225K0.10% - 1.50%Any (new grads ok)
fulltimeSan Francisco, CA, USFull stack$100K - $225K0.10% - 1.50%Any (new grads ok)
fulltimeSan Francisco, CA, US$75K - $150K0.10% - 1.50%Any (new grads ok)