Trellis AI

Emerging

SF YC Stanford AI Lab spinout healthcare automation at General Catalyst/Telesoft-backed; AI agents trained on millions of clinical data points automating prior authorization and document-to-EHR extraction for Fortune 500 providers competing with Cohere Health.

Company Overview

About Trellis AI

Trellis AI is a San Francisco-based healthcare automation platform — backed by Y Combinator with funding from General Catalyst, Telesoft Partners, and executives from Google and Salesforce — providing healthcare providers, pharmaceutical companies, and diagnostic labs with AI agents trained on millions of clinical data points that convert unstructured medical documents into clean structured EHR data, automating the pre-service administrative workflows of document intake, prior authorization processing, and insurance appeal generation. Founded in 2024 as a Stanford AI Lab spinout by Mac Klinkachorn and Jacky Lin, Trellis serves Fortune 500 healthcare customers with a 25-person team focused on eliminating the manual paperwork that delays patient access to care.

Business Model & Competitive Advantage

Trellis AI's clinical document automation addresses one of healthcare's most persistent administrative bottlenecks: prior authorization (the process by which providers request insurer approval before delivering care) requires staff to gather clinical documentation from patient records, extract the relevant clinical criteria matching the insurer's coverage policies, and submit supporting evidence packages through insurer-specific portals — a process that takes 1-3 staff hours per authorization and causes average delays of 3-7 days before patients can receive approved care. Trellis's AI agents read incoming clinical documentation (physician notes, lab results, imaging reports, referral letters) using models trained specifically on medical language and clinical coding conventions, extract the structured data elements (ICD-10 diagnosis codes, CPT procedure codes, clinical criteria language), and auto-populate the prior authorization submission — reducing staff time from hours to minutes per authorization. The EHR integration (writing extracted structured data back to Epic, Cerner, or Athena records) eliminates the manual data entry step that creates both staff burden and documentation quality risks.

Competitive Landscape 2025–2026

In 2025, Trellis AI competes in the AI prior authorization, healthcare administrative automation, and clinical document processing market with Cohere Health (prior authorization AI, $50M raised), Olive AI (healthcare AI automation, $857M raised), and Waystar (RCM automation, NYSE: WAY) for healthcare provider and health system administrative automation platform adoption. General Catalyst's healthcare investment focus (GC has deep healthcare portfolio including Oscar Health, Livongo, Pillpack) and the Stanford AI Lab founding team provide the academic research credibility and healthcare industry investor network that early-stage clinical AI companies require for enterprise hospital system sales. The Fortune 500 healthcare customer references (major health systems or pharmaceutical companies) validate Trellis's accuracy and integration capability for high-stakes clinical workflows. The 2025 strategy focuses on scaling the prior authorization automation for specialty care (oncology, cardiology, musculoskeletal) where authorization volume and complexity are highest, building the appeals automation workflow for denied claims, and expanding the pharma market for clinical data extraction from research documentation.

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Key Differentiators

Emerging Innovator

Trellis AI is an emerging player bringing innovative solutions to the Healthcare market.

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