Cloud-based solar design and sales software for PV installers
Aurora builds cloud software for solar design, sales, and financial modeling—used to configure over 20M projects to date. The tech stack combines React + Python + Salesforce with GPU compute (CUDA, WebGL, Three.js) for real-time PV simulation, indicating heavy investment in design-tool performance. Hiring velocity is accelerating across sales (5 open roles), engineering (4), and design (2), with notably senior profiles (8 senior/director/VP positions) focused on European expansion, next-gen storage modeling, and enterprise sales efficiency—suggesting a shift from SMB installer adoption toward mid-market sales teams.
Notable leadership hires: Head of Design
Aurora is a cloud-based SaaS platform that automates solar design, sales configuration, and performance analysis for residential and commercial installers. Users input an address and electric bill to generate a complete, customizable PV system design and financial proposal—reducing sales cycles and design rework. The product spans design tools (3D visualization, component layout optimization), performance simulation (PV + battery storage modeling), and sales workflows integrated with Salesforce. Aurora operates across the US and Europe with a 51–200 person team. Core pain points the company is addressing include modernizing legacy solar sales processes, scaling design and simulation to handle complex multi-stakeholder deals, and expanding customer lifetime value through cross-sell and retention.
React, Python, JavaScript, TypeScript, Java, PostgreSQL, MySQL, Redis, AWS, Salesforce, and GPU libraries (CUDA, WebGL, Three.js) for real-time 3D solar design and simulation.
Next-generation PV and battery storage design tools, simulation and optimization infrastructure for complex solar layouts, and playbooks for enterprise sales expansion in European markets.
Aurora Solar'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.