Energy modeling and simulation platform for decarbonization planning
Energy Exemplar operates a 25-year-old modeling and simulation platform suite (PLEXOS, Aurora, Adapt2) for energy infrastructure planning. The tech stack reveals a mature, optimization-focused architecture: C#/.NET backend with commercial solvers (CPLEX, Gurobi), SQL databases, and a modern web layer (React, Vue, Angular). Current projects signal a major pivot toward agentic AI—multiple workstreams on AI-powered simulation, Azure OpenAI pipelines, and agent orchestration platforms—while pain points (low adoption, slow time-to-value, legacy codebases) suggest the shift is driven by competitive pressure to reduce user friction and accelerate decision cycles.
Notable leadership hires: Data Director, Team Lead, Sales Director, Strategic Director
Energy Exemplar develops software for power and natural gas system modeling, serving utilities, traders, and grid operators planning decarbonization pathways. Founded in Adelaide in 1999, the company operates at 501–1,000 employees across nine countries (Singapore, United States, United Arab Emirates, India, Indonesia, South Africa, Nigeria, Japan, Spain), with a commercial footprint in APAC and emerging expansion into North America. The product portfolio encompasses PLEXOS (core simulation engine), Aurora (market analytics), and Adapt2, supported by in-house datasets, training, and implementation services. The business is privately held.
Primary stack: .NET, C#, SQL Server, with optimization engines CPLEX and Gurobi. Frontend: React, Vue, Angular. Cloud: Azure, AWS, GCP, Kubernetes. Recent additions: Python, RAG, and Azure OpenAI for AI integration.
Yes. 40 active roles total; 9 in engineering. Hiring is steady across 9 countries including US, Singapore, UAE, India, and South Africa. Senior-level roles dominate (19 of 40 posted).
Core focus: agentic AI platform for agent creation, orchestration, and governance; AI-powered simulation and planning capabilities; global power and gas market models; and modernization of the PLEXOS simulation engine.
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