Oracle and Salesforce implementation, enterprise integrations, and data platform services
Neev Systems delivers Oracle EBS, Fusion, and Salesforce implementations alongside enterprise integrations and data analytics for mid-market companies. The tech stack is heavily Oracle-centric (EBS, Fusion, BI, multiple cloud modules) layered on Azure cloud infrastructure, with MuleSoft for integrations and Databricks for analytics — a pattern that reflects their core business: helping enterprises migrate to and operate modern Oracle cloud stacks. Active projects cluster around ERP integrations, data migration, and cost-optimization models; the hiring surge (8 roles in 30 days, mostly senior engineers in India) signals scaling of delivery capacity for large implementations.
Neev Systems is a systems integrator and consulting firm founded in 2016, headquartered in Milpitas, California, with offices in the United States, India, and Mexico. The firm specializes in Oracle enterprise applications (EBS, Fusion, cloud modules), Salesforce deployment, ServiceNow implementations, application integration via MuleSoft, and data and analytics services. The company serves mid-market enterprises undergoing digital transformation and cloud migration, with particular depth in financial, supply chain, and manufacturing processes. Current staff exceeds 200 professionals, with engineering representing the largest hiring focus.
Neev specializes in Oracle EBS, Oracle Fusion (financials, SCM, procurement, order management), and Coupa implementations. They also deploy Salesforce and ServiceNow for enterprises migrating to cloud.
The primary stack is Oracle Cloud and Microsoft Azure. Azure infrastructure includes Data Factory, Synapse Analytics, Data Lake Storage, and Databricks for analytics and big data workloads.
Neev Systems'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.