Banking, fraud, and healthcare software for financial institutions and providers
ARGO builds transaction processing, fraud detection, lending, and patient-matching software on a Microsoft-centric core of C#, .NET, C++, and SQL Server, with Java and React alongside. Job posts show a push to rebuild a healthcare product as a multi-tenant SaaS app on Azure, backed by Docker, Kubernetes, and an enterprise DevOps strategy. That points to a long-standing on-prem vendor moving toward cloud delivery.
ARGO is a privately held software company headquartered in Richardson, Texas, founded in 1980, with 201–500 employees. Its financial services products cover payment and teller transaction processing, sales and service, relationship management, and retail and commercial lending. Fraud and compliance offerings include positive pay, BSA/AML monitoring, and transaction and image analysis. Healthcare products address patient identity matching with biometrics, duplicate record prevention, care coordination and referrals, and patient financing. Hiring is concentrated in the United States across engineering, marketing, product, sales, and support.
ARGO's stack centers on C#, .NET, ASP.NET, C++, Java, React, and SQL Server. It runs on Azure and AWS with Docker and Kubernetes, uses New Relic for monitoring, Nexus and Artifactory for artifacts, and FHIR for healthcare data.
Job posts describe designing a multi-tenant SaaS healthcare application, implementing multi-tenancy in Azure, and building containerization and enterprise DevOps strategies. Marketing work includes email and SMS campaign tracking and A/B testing.
ARGO is headquartered in Richardson, Texas. It was founded in 1980, has 201–500 employees, and currently hires in the United States.
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ARGO'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.