
AI-powered workflows for unstructured data
AI for streamlining healthcare paperwork
Trellis converts your unstructured data into SQL-compliant tables with a schema you define in natural language. With Trellis, you can now run SQL queries on complex data sources like financial documents, contracts, and emails. Our AI engine guarantees accurate schema and results. Leading enterprises use Trellis to: 1. Unlock hidden revenue in their customer data (e.g., Underwriting teams use Trellis to extract key features from transaction data and build better risk models.) 2. Supercharge RAG applications by enabling end-users to ask analytical questions not possible before with traditional Vector DB (e.g., what are the top three features that users are requesting) 3. Enrich their data warehouse with business-critical information (e.g., Retrieving detailed pricing and quantity information of products sold on competitor websites)
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 pivoted from a general-purpose unstructured data-to-SQL platform for enterprises (serving industries like finance, underwriting) to a focused solution automating paperwork for healthcare providers. Same AI data extraction core, but new industry, customer, and problem area.