Stedi operates a healthcare clearinghouse rebuilt for developers—replacing EDI's legacy infrastructure with REST APIs and serverless backends. The stack reveals a cloud-native SaaS architecture (AWS Lambda, SQS, SNS, DynamoDB, Aurora, Redshift) paired with Rust and TypeScript, signaling focus on performance and reliability at scale. Pain points center on 100x payer integrations and parallelizing legacy EDI processes, while projects span real-time eligibility APIs, RCM tooling, and accounting workflow automation—indicating a move from transactional plumbing toward higher-margin software products.
Stedi is a healthcare clearinghouse that processes medical transactions and insurance claims using modern APIs instead of legacy EDI standards. Founded in 2017, the company operates from New York and serves healthcare providers and payers who need to integrate with insurance systems. The product surface includes real-time eligibility checking, EDI parsing and transmission, and revenue-cycle management (RCM) tooling. The technical organization is balanced between core engineering, sales, operations, and product teams, with visible investment in accounting automation and backend scaling to handle direct payer connections at volume.
Stedi uses AWS (Lambda, SQS, SNS, DynamoDB, Aurora), Redshift, Rust, TypeScript, React, Next.js, Stripe, HubSpot, NetSuite, Okta, and Vanta. The stack emphasizes serverless compute, real-time data, and security compliance tools.
Active projects include a real-time eligibility API platform, EDI parsing engine, healthcare APIs, RCM demo apps, serverless backend infrastructure, accounting workflow automation, and sales data infrastructure. Current focus is scaling payer integrations and reducing operational toil.
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Stedi's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.