Oracle Cloud implementation and managed services for enterprise operations
Infovity is a 16-year-old Oracle-focused consulting firm built around a narrow, deep stack: Oracle Cloud HCM, Fusion, ERP, CPQ, and integration services. The hiring signal is lean and senior—4 engineering roles and 2 HR roles, all mid-to-senior level, posted in the last 30 days—suggesting selective scaling rather than rapid headcount growth. Active projects center on CPQ implementation and subscription management, while internal pain points (inefficient sales process, revenue recognition compliance) hint at the operational friction their customers face and Infovity itself is solving for.
Infovity is a privately held Oracle consulting firm headquartered in San Mateo, founded in 2008, serving 201–500 employees across the United States. The company specializes in multi-pillar Oracle Cloud deployments for High Tech, Communications, Ad Tech, Clean Energy, and Life Sciences sectors. Core service lines include Oracle ERP Cloud, HCM Cloud, SCM and Manufacturing Cloud, Business Intelligence, Oracle Integration Cloud, and managed services. Infovity also develops custom extensions for subscription management, recurring billing, lease, and asset management—areas where Oracle's native functionality often needs augmentation.
Infovity's stack is entirely Oracle-centric: Oracle Cloud HCM, Oracle Fusion, Oracle ERP Cloud, Oracle CPQ, Oracle Integration Cloud, Oracle SCM, Oracle Cloud Financials, and BI Publisher. Supporting tools include JavaScript, Groovy, Jira, and Confluence.
Active projects include Oracle CPQ implementation, integration with Oracle ERP Cloud, subscription management module implementation, and RMCS integration with upstream and downstream systems.
Infovity'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.