ETRM and CTRM consulting firm building generative AI for commodity trading
Value Creed is a Dallas-based consultancy that implements and runs energy and commodity trading and risk platforms. Its stack is tilting hard toward generative AI: Azure OpenAI, Azure AI Search, LangChain, and models from OpenAI, Anthropic and Gemini sit alongside legacy .NET, SQL Server and Crystal Reports. Recent posts are engineering-led, focused on RAG and agentic workflows, with hiring concentrated in India.
Value Creed is a privately held consulting firm founded in 2016 and headquartered in Dallas, Texas, with 51–200 employees. It advises energy and commodity trading organizations on their ETRM and CTRM systems across power, gas, renewables, crude, refined products and coal. Services span strategy and advisory, trading and risk platform implementation, data and digital transformation, and ongoing managed services. The firm works across multiple vendor platforms, including Allegro, RightAngle and Endur, and supports clients through a structured lifecycle framework from design to optimization.
Value Creed uses Azure OpenAI, Azure AI Search, Azure Kubernetes Service, Azure Functions, Python, FastAPI, React, Next.js, LangChain, .NET, C#, SQL Server and SQL Server Reporting Services.
Yes, engineering leads current hiring, which is accelerating, with additional legal and marketing openings. Roles are based in India and range from junior to principal seniority.
Value Creed is integrating Azure OpenAI solutions, designing RAG pipelines, developing agentic AI workflows, and configuring contract lifecycle management workflows with approval chains and alerts.
Other companies in the same industry, closest in size
Value Creed'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.