Enterprise life insurance platform with omnichannel engagement and data integration
Sureify builds a modular product suite for life insurance carriers covering policyholder engagement, data aggregation, and workflow automation. The tech stack—PHP, TypeScript, Go, React, MySQL, PostgreSQL, Docker, Kubernetes, and multi-cloud (AWS, Azure, GCP)—reflects a mature, polyglot platform handling legacy system integration at scale. Active projects around schema migrations, ML-ready pipelines, and systematic release processes, paired with engineering-heavy hiring (7 of 9 open roles) and documented pain points in execution velocity and data pipeline performance, signal an org scaling toward operational reliability and real-time data capabilities.
Notable leadership hires: Technical Lead
Sureify provides a suite called Lifetime designed for life insurance carriers, home office teams, producers, and policyholders. The platform integrates data from legacy systems and delivers omnichannel engagement, policy servicing, and sales workflows. Founded in 2012 and headquartered in San Jose, the company operates with 201–500 employees and is privately held. The product footprint spans digital experiences, data aggregation, and process automation across the carrier lifecycle.
Sureify uses PHP, TypeScript, Go, and React for application logic; MySQL and PostgreSQL for data; Docker and Kubernetes for orchestration; and AWS, Azure, and GCP for cloud infrastructure. Testing relies on Selenium, Cypress, and Playwright; CI/CD runs through Jenkins, GitLab, and Azure DevOps.
Current projects include scalable architecture for millions of users, schema migrations and query optimization, ML-ready data pipelines, and AI-enabled engineering practices. The team is also implementing systematic release processes and automated production quality gates to improve execution velocity.
Sureify'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.