Enterprise IT services and custom application development for financial services
PETADATA delivers application development, system integration, and infrastructure services to banking, financial services, insurance, and healthcare organizations. The tech stack reflects a mature enterprise services practice: Java (Spring ecosystem), .NET, Oracle, SAP, and increasingly Python for analytics. Active projects cluster around financial calculations (portfolio performance, risk attribution, liquidity coverage ratio in Murex) and cloud migration of legacy .NET/SQL systems—a pattern suggesting clients are modernizing on-premises banking and investment platforms while building new analytics layers.
Notable leadership hires: Recruiter Team Lead
PETADATA is a privately held IT services company founded in 2014, headquartered in Fremont, California, with offshore development centers in India. The company specializes in application development, enterprise system implementation, support and maintenance, infrastructure management, and quality assurance for mid-sized and large organizations across banking, financial services, insurance, retail, healthcare, manufacturing, and independent software vendors. Their service portfolio spans custom application builds, legacy system modernization, cloud migration, and integration work around enterprise platforms like SAP, Oracle, Documentum, and Murex.
Java (Spring Boot/Spring MVC), .NET Framework/Core, Python, Oracle, SAP, Kubernetes, Docker, Jenkins, Tableau, Power BI, Angular, and database work in MySQL and MongoDB across 51–200-person organization.
Financial systems work (portfolio performance analytics, risk/attribution engines, liquidity coverage ratio implementation in Murex), cloud migrations of legacy .NET applications, REST API integrations for ECM platforms, and Power Platform implementations.
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PETADATA'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.