Trellis

Trellis

Trellis AI · Coding · Other

Trellis is an AI agent platform for specialty healthcare providers. It reads faxes, PDFs, and scanned forms, then runs prior authorizations, appeals, and benefits checks inside the EHR.

Interface preview of Trellis

About Trellis

What Is Trellis

Trellis is a healthcare AI company spun out of the Stanford AI Lab and backed by YC, General Catalyst, and Telesoft Partners. Its AI healthcare agents take on the administrative work that sits between a referral and a first treatment: document intake, benefits verification, prior authorization, and appeals.

The problem it attacks is paperwork volume. One specialty case can run to hundreds of pages of faxes, clinical notes, and payer forms. Staff read them by hand, retype the useful parts into the EHR, and work payer portals one at a time. Trellis handles the unstructured data extraction for you, turning those documents into structured fields, then acting on what it finds. The company says its agents complete 80 to 90 percent of scripts with no human touch.

The limits are real. Trellis sells to healthcare organizations, not to individuals. There's no self-serve signup, no public price list, and no documented public API. A small practice with no EHR integration budget will struggle to adopt it.

Getting Started

  1. Book a demo through the Trellis site and walk the team through your current pre-service workflow.
  2. Connect the systems you already run. The platform maps your existing process instead of asking you to replace it.
  3. Set rules for document types, payer requirements, and the exact point where a person reviews the agent's output.
  4. Start with one workflow, usually medical document intake or prior authorization, then widen to appeals and patient updates.

Product Information

A quick look at Trellis's pricing, supported platforms, and performance.

Free PlanNo
Paid PlansCustom quote
PlatformWeb, EHR integrations
DeveloperTrellis AI
CategoryCoding · Other
Release DateMar 2024
Latest UpdatedOct 2026
Website Visits5.7K
Website Global Rank3M
API AvailabilityN/A

Best for

The users, tasks, and scenarios where this tool fits best.

Users

  • Specialty clinics in fields like ophthalmology, rheumatology, and oncology
  • Infusion centers
  • Revenue cycle and prior authorization teams

Tasks

  • Medical document intake
  • Prior authorization automation
  • Appeals and denials
  • Benefits checks and test claims

Scenarios

  • A referral arrives with 200 pages attached
  • A payer denies a drug authorization
  • A clinic wants revenue visibility

Key features

Document Intake From Faxes and Scans

Trellis reads the formats that actually arrive in a specialty office: faxes, PDFs, scanned forms, and clinical notes. It sorts each page by type and extracts the fields a payer will ask about. That removes the manual sorting step that eats the first day of most authorization workflows.

Unstructured Data Extraction Into the EHR

The platform converts messy documents into clean, structured records and writes them into the EHR your staff already use. Notes stay where clinicians expect them, and downstream reporting gets real fields instead of scanned images. This is the core of the product, and everything else depends on it. It's also the base layer for EHR workflow automation, since every later step reads the same fields.

Prior Authorization and Appeals

Agents build the authorization packet, run the payer's rules against it, and submit. When a denial lands, the system can generate a letter of medical necessity and an appeal draft with the supporting documentation attached. Faster turnaround on appeals matters, because the clock on a therapy start keeps running.

Payer Portal Navigation and Outbound Calls

A lot of prior authorization work still lives in web portals and phone queues. Trellis Execute drives those portals and makes outbound calls to payers, then verifies what came back. It's the least glamorous part of the job and the one that burns the most staff hours.

Process Mapping With Trellis Copy

Trellis Copy maps how a business unit already works and turns it into an environment the agents can learn in, capturing SOPs and KPIs along the way. You don't have to rewrite internal workflows before you start. The map becomes the training ground.

A Learning Loop With Trellis Capture

Trellis Capture studies your systems and produces data the agents use to improve, plus recommendations for the workflow itself. Analytics stay in house. Over time the agents handle more edge cases, which is the difference between a rules engine and something that adapts.

Pros and cons

Pros

  • Covers the full pre-service chain, from document intake through appeal, instead of one narrow step.
  • Works inside existing EHR and portal workflows, so adoption doesn't require a systems migration.
  • Publishes concrete outcome claims, including a 90 percent cut in time to treatment and 5x productivity gains for staff.
  • Structured output improves reporting on approval rates and reimbursement, which most paper-based teams can't measure.
  • The learning loop means repetitive edge cases get absorbed rather than escalated.

Cons

  • No published pricing. You have to talk to sales before you know whether the numbers work for your practice.
  • Enterprise-only onboarding with no self-serve tier, so small clinics are effectively priced out.
  • No documented public API, which limits teams that want to build their own tooling on top.
  • Outcome figures come from the vendor. Independent, peer-reviewed results are hard to find, so treat the percentages as claims rather than audits.

Frequently asked questions

Trellis runs AI agents over healthcare paperwork. The agents read referrals and clinical documents, extract the data payers need, submit prior authorizations, and draft appeals, then write the results into the EHR.