DER optimization, demand response and energy intelligence for C&I users
Rodan Energy Solutions builds software and engineering services for optimizing distributed energy resources, battery storage and microgrids. Its Databricks, Spark, MLflow and Delta Lake stack backs active work on time-series forecasting of facility load, market demand and electricity prices, while Copilot Studio and Azure AI adoption points to an enterprise AI rollout. Hiring is accelerating and skews toward sales and director-level roles across Canada and the US.
Notable leadership hires: Marketing Director
Rodan Energy Solutions is a privately held company headquartered in Mississauga, Ontario, founded in 2003 and employing 51–200 people. It serves commercial and industrial energy consumers along with power distribution and generation companies. Its offering spans demand response, peak load prediction and management, electricity metering, energy monitoring and power systems engineering. The company operates across Canada and the United States, with engineering work supported by tools such as ETAP, AutoCAD, MATLAB and Mathcad.
Rodan runs a Microsoft Azure and Databricks data stack with Apache Spark, MLflow, Delta Lake and Python libraries, plus Django, Vue and C# for applications, Salesforce and HubSpot for go-to-market, and ETAP and MATLAB for engineering.
Current initiatives include an enterprise AI rollout, AI assistants for knowledge search, ML pipelines on Databricks, and time-series forecasting for facility load, market demand and electricity prices.
Rodan Energy Solutions is headquartered in Mississauga, Ontario, Canada, and is hiring in both Canada and the United States, with sales and leadership roles prominent.
Other companies in the same industry, closest in size
Rodan Energy Solutions 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.