Assured builds an AI engine for insurance claims processing, using Node.js, TypeScript, Python, and LangChain across a modern cloud stack (AWS, Kubernetes, PostgreSQL). The company is addressing a structural problem in insurance: manual claims processing costs the industry billions annually. Active projects span self-service filing, fraud detection, and customer integrations, while the engineering-heavy hiring mix (12 engineers out of 26 open roles, weighted toward staff-level) suggests scaling toward complex ML-driven decision-making on high-volume claim datasets.
Assured is an insurtech founded in 2019 and headquartered in Palo Alto, CA. The company develops an AI claims platform designed to help insurance carriers ingest, service, and process claims at scale. The product surfaces address both claimant experience (self-service filing, digital workflows) and carrier operations (fraud detection, automated routing, cost reduction). The technology stack is cloud-native and AI-ready: Node.js and Python services running on AWS/Kubernetes, with PostgreSQL for state and LangChain integrated for decision logic. The company is hiring across engineering, product, and go-to-market functions.
Node.js, TypeScript, Python, PostgreSQL, AWS (EKS, SQS, Aurora), Kubernetes, Docker, GraphQL, React, LangChain, Django, Flask, GitLab CI/CD, Terraform, Vercel, Selenium, Cypress, and Tableau.
Self-service claim filing, backend fraud detection, customer integrations API, digital claimant workflows, deployment and platform optimization, and ML-driven decision-making for large-scale claims processing.
Assured'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.