Custom software and cloud modernization for government and enterprise
Kanak Elite Services builds custom software across mobile, web, and cloud infrastructure—with a heavy emphasis on government-grade geospatial, embedded, and sensor-integration platforms. The tech stack reveals a dual focus: Java/Kotlin/Android on the client side, Kafka/Kubernetes on the backend, plus deep Salesforce and Oracle Cloud integration work. All 10 active engineering hires are senior-level, signaling a shift toward complex system integrations and cloud migrations rather than headcount growth.
Kanak Elite Services is a software development company founded in 2016 and based in Hamilton Square, New Jersey. The company delivers custom software solutions, mobile apps, web platforms, and cloud infrastructure work to mid-market and enterprise clients. Recent project activity centers on geospatial situational awareness, embedded systems for field operations, Oracle Cloud ERP implementation, Salesforce transformation, and migration of on-premises workloads to Azure. The company is actively addressing technical pain points around real-time decision systems, complex integrations, enterprise platform scalability, and legacy modernization.
Kanak Elite uses Kotlin, Java, Android SDK, Kafka, Kubernetes, GitLab CI/CD, Cypress, Electron, MySQL, Angular, TypeScript, Node.js, Salesforce, and Oracle tooling. Recently replaced Oracle Agile PLM.
Active projects include geospatial situational awareness platforms, embedded systems for field operations, CBRN sensor integration, Oracle Cloud ERP and project portfolio management implementations, mobile app modernization, and Azure cloud migrations.
Kanak Elite Services'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.