SaaS platform for state health insurance marketplaces and human services
GetInsured builds cloud SaaS that states use to run health insurance enrollment and safety-net program operations. Its stack centers on AWS, PostgreSQL with Citus, PostGIS and pgvector, plus Terraform and Splunk, pointing to a database-heavy platform built for high availability. LangSmith, Arize and Weights & Biases show early AI/LLM tooling, while a support-dominated hiring mix points to call-center capacity around enrollment periods.
GetInsured, operating as Vimo, is a privately held company headquartered in Mountain View, CA, founded in 2005. It began by helping consumers shop for and enroll in health insurance, then shifted after the Affordable Care Act to providing state governments with a SaaS platform for running enrollment marketplaces. Its current focus covers modernizing public sector health and human services operations, including eligibility and access to safety-net programs. The company has 201–500 employees and hires in the United States and Canada.
GetInsured runs on AWS with PostgreSQL, Aurora, Citus, PostGIS and pgvector, plus Java, Python, Terraform, Jenkins, Splunk and Wazuh. Testing uses Playwright, Cypress and Selenium, and Genesys supports its contact center.
Yes, though hiring is decelerating. Most open roles are in customer support, followed by engineering and product, with some data and security positions, mostly at junior level in the United States and Canada.
Current work includes PostgreSQL upgrades, migrations and extension rollouts, DBA and runbook automation, cloud-based enrollment tools, call center and agent marketing tools, and open enrollment readiness.
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GetInsured'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.