Commercial rooftop solar developer building and operating utility-scale projects nationwide
Solar Landscape deploys utility-scale solar on commercial real estate across the United States. The tech stack is enterprise-heavy (Dynamics 365, Power BI, Procore, PlanGrid, Microsoft Project) paired with a lightweight development layer (TypeScript, Next.js), suggesting a capital-intensive operations business with internal software tools for project tracking and financial modeling. Active hiring across engineering and ops signals scaling of both internal capabilities and project delivery; concurrent work on procurement optimization, scenario planning, and capital allocation points to improving unit economics as deployment volumes grow.
Solar Landscape is a vertically integrated commercial rooftop solar developer founded in 2012 by construction professionals. The company has deployed 800 megawatts across 75+ million square feet and operates in over a dozen states from offices in Asbury Park, Chicago, Baltimore, and New York. They build, own, and operate solar projects, handling engineering, permitting, interconnection, and ongoing operations in-house. Primary customers are large real estate owners seeking to monetize rooftop assets with zero upfront capital; Solar Landscape finances and retains asset ownership. The company operates at scale: 201–500 employees, accelerating hiring in engineering and operations, with active work streams spanning project delivery, financial modeling, procurement efficiency, and regulatory engagement.
Power BI, Dynamics 365, Procore, PlanGrid, Microsoft Project for operations and project management. TypeScript, Next.js, Node.js, and Tailwind CSS power internal tools. Also uses Jira, Microsoft Fabric, Google Earth, and Nearmap for planning and visualization.
800 megawatts across 75+ million square feet of rooftop space nationwide as of the latest data.
Other companies in the same industry, closest in size
Solar Landscape'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.