Commodity and energy trading, risk and bulk handling software platform
Quoreka sells CTRM, ETRM and bulk-handling software to commodity businesses, built on a long-lived Microsoft estate (.NET, C#, VB.NET, Visual Basic 6, WinForms, SQL Server) alongside a newer React, Angular, Java and Node.js layer. Adoption of LangChain, CrewAI and AutoGen, plus projects on GenAI test generation and Playwright automation, points to AI-assisted QA as a modernization lever. Hiring skews senior and engineering-heavy, with product close behind.
Quoreka is a London-headquartered, privately held software company with 201–500 employees, formed by merging Quor Group and Eka Software Solutions. It provides commodity trading and risk management (CTRM), energy trading and risk management (ETRM), supply chain and bulk handling, and risk, compliance and analytics software. Customers operate in agriculture, metals, energy and mining markets. Product capabilities include mark-to-market, contract and workflow management, site automation control and collision avoidance for bulk handling. The company hires across India, Australia, the United Kingdom, the United States and Canada.
Quoreka runs .NET, C#, VB.NET, ASP.NET and SQL Server alongside Java, Spring Boot, Node.js, React, Angular and TypeScript, hosted on Azure and AWS with Azure DevOps for delivery.
Yes. Quoreka is adopting LangChain, CrewAI and AutoGen, and job posts reference a LangChain proof-of-concept and GenAI-powered test case generation.
Quoreka hires in India, Australia, the United Kingdom, the United States and Canada, with engineering and product as the leading departments and a senior-heavy seniority mix.
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Quoreka'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.