IT staffing and consulting firm delivering engineering, data and AI talent
Saransh Inc is a Princeton-based IT consulting and staffing firm whose demand skews heavily toward senior engineering and data talent. Its stack spans React, .NET Core, Java, Python and both Azure and AWS, with Azure OpenAI, LangChain and LangGraph signaling GenAI delivery work. Adoption of SAP, Power Platform and Kubernetes alongside replacement of Informatica and Boomi points to client integration modernization programs.
Notable leadership hires: Program Director, Test Lead, Technical Lead, SAP S/4HANA Business Readiness Lead
Saransh Inc provides recruitment, consulting and IT services to client organizations, with a focus on revenue growth, productivity and cost management. Founded in 2004 and headquartered in Princeton, New Jersey, the privately held company employs 51–200 people. It hires across the United States and Canada, mainly for senior engineering and data roles placed on client programs. Engagements cover web application development, cloud infrastructure, enterprise integration, master data management with Stibo STEP, and ERP transformation work including SAP S/4HANA.
Saransh Inc works with React, TypeScript, Node.js, Java, Python, C#/.NET Core, Azure, AWS, Kafka, RabbitMQ, SQL Server, Jenkins, plus Azure OpenAI, LangChain and LangGraph for AI work.
Yes. Hiring is accelerating and dominated by senior engineering roles, followed by data positions, across the United States and Canada, with leadership openings such as Program Director and Technical Lead.
Project work includes a digital banking platform launch, medallion architecture implementation, AWS infrastructure design, AI search implementation and a Boomi to SAP CPI migration.
Other companies in the same industry, closest in size
Saransh Inc'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.