Home battery and solar energy management platform with AI dispatch software
Lunar Energy manufactures integrated home battery and solar systems paired with AI-powered energy management software (Gridshare) that optimizes distributed energy resources. The tech stack—Python, Go, Rust, TypeScript on AWS with Grafana, React, and Jenkins—reflects a hardware-software hybrid org. Current hiring velocity is accelerating with 11 engineering roles posted in the last 30 days alongside 4 sales and 1 manufacturing role, while pain points center on CRM adoption, sales process inefficiencies, and scaling production across multiple manufacturing sites.
Lunar Energy builds an ecosystem of home battery and solar products designed to capture, store, and dispatch renewable energy at the household level. The core offering is the Lunar System—a solar and battery platform controlled by Gridshare, an AI-driven energy management layer that can orchestrate home batteries, EV chargers, and other distributed energy assets to maximize homeowner economics and support grid stability. Founded in 2020 and based in Mountain View, the company operates in the 201–500 employee range and is actively hiring across engineering, sales, and manufacturing in the United States and United Kingdom.
Core languages: Python, Go, Rust, TypeScript. Infrastructure: AWS with X-Ray, Jenkins, Grafana. Frontend: React, Figma. Hardware tooling: SolidWorks, LabVIEW, TestStand. Security: SOC2, ISO/IEC 27001.
Active projects include mission-critical power electronics programs, sensor data acquisition integration, API and UI exposure, CRM optimization, sales dashboards, security architecture, and scaling production across multiple contract manufacturing sites.
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Lunar Energy'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.