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Neev Systems Tech Stack

Oracle and Salesforce implementation, enterprise integrations, and data platform services

IT Services and IT Consulting Milpitas, California 201–500 employees Founded 2016 Privately Held

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.

Tech Stack 139 technologies

Core StackAzure Data Factory Databricks .NET C# PL/SQL Hibernate PostgreSQL MuleSoft ServiceNow Okta Oracle Cloud Azure Azure SQL Database Azure Synapse Analytics Azure Blob Storage Azure Data Lake Storage Azure HDInsight Azure Cosmos DB Oracle Cloud Manufacturing Oracle EBS Oracle Fusion Oracle Business Intelligence BI Publisher Oracle Procurement Cloud Oracle Order Management Cloud Oracle SCM Cloud Oracle Fusion Cloud Spring Boot Anypoint Platform SOAP+107 more

What Neev Systems Is Building

Challenges

  • Integration with erp systems
  • Performance and scalability
  • Data consolidation and conversion
  • Large scale data migration
  • Vendor catalogue decision automation
  • Supporting large-scale oracle erp financial modules
  • Ensuring application security and data management
  • Complex integrations with enterprise systems
  • Scalable high-performing data solutions
  • Performance tuning big data workloads

Active Projects

  • Coupa integration with erp
  • Cost prediction and optimization models
  • Custom reports and interfaces using fusion technology stack
  • Product recommendations & intelligent substitutions
  • Complex enterprise integrations
  • Ai-driven automation
  • Scalable data platform
  • Airflow dag scheduling
  • Automation of operational tasks
  • Coupa implementation

Hiring Activity

Accelerating30 roles · 8 in 30d

Department

Engineering
18
Finance
3
Data
2
Manufacturing
2
Ops
2
Product
1
Support
1

Seniority

Senior
27
Junior
1
Lead
1
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About Neev Systems

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.

HeadquartersMilpitas, California
Company Size201–500 employees
Founded2016
Hiring MarketsIndia

Frequently Asked Questions

What ERP systems does Neev Systems implement?

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.

What cloud platforms does Neev Systems use?

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.

How this profile is built

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.