DER optimization and demand response platform for commercial and industrial energy
Rodan Energy builds software for managing distributed energy resources, battery storage, and demand response at commercial and industrial sites across North America. The tech stack is primarily Python + data tools (Pandas, NumPy) layered over SQL Server and Azure infrastructure, with a Django/Vue web layer—shaped like a classic optimization-engine business. Hiring has accelerated with 13 roles posted in the last 30 days, heavily skewed toward director-level hires (6 director openings vs. 3 engineers), suggesting leadership capacity-building ahead of US market expansion.
Notable leadership hires: Marketing Director
Rodan Energy Solutions operates a platform for optimizing distributed energy resources, demand response, and energy intelligence across North America. Founded in 2003 and based in Mississauga, Ontario, the company serves commercial, industrial, and utility customers—including power distribution and generation operators. The product suite focuses on real-time asset optimization, battery storage management, and demand-side participation in grid markets (NYISO ICAP, PJM capacity programs). With 51–200 employees and active projects spanning AMI deployments, capacity auction analysis, and settlement accuracy, Rodan operates at the intersection of energy engineering and SaaS operations.
Python, Pandas, NumPy for analytics; Django and Vue for the web layer; SQL Server and Azure for infrastructure; Ignition for industrial automation integration. They are phasing out AVEVA.
North American commercial, industrial, and utility markets. Active projects include NYISO and PJM capacity program administration, advanced metering infrastructure, and demand response optimization for grid operators.
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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.