
Automating the Future of Solar Design
SolarPlanner is an AI-powered software platform designed to make solar design faster and easier for installers, EPCs, and energy professionals. Our mission is simple: to automate solar design by making it faster and more accurate.
We provide a complete end-to-end design solution for residential, commercial, and industrial solar projects. We combine expertise in energy systems, artificial intelligence, and software engineering to remove manual work from the design process.
SolarPlanner is built to support the real workflow of today’s solar professionals: quick turnarounds, accurate results, and tools that help close deals.
What drives us is automation, innovation, and reducing the friction in the sales and design workflows that slow solar companies down.
From a Research Challenge to an Industry Platform
SolarPlanner started as a research challenge: can technically sound solar and battery proposals be fully automated? To achieve this, we built in-house computer vision for rooftop segmentation and a patent-pending system for automated panel placement.
Today, SolarPlanner is used as a standalone platform and via API integrations, allowing customers to connect it to CRM/ERP workflows and generate mathematically sound techno-economic proposals with zero manual work.

Trusted by Professionals, Backed by Innovation
We are dedicated to improving the way solar systems are planned - making the process faster, more reliable, and more accessible for everyone.
Meet the Experts Behind the AI
Our team brings together specialists in energy systems, AI, optimization, software engineering, and data science. With academic and industry experience across Europe, the USA, and Asia.

Dominik Dominkovic
CEO

Christian Thilker
Lead Data Scientist

Pepe Una
CTO

Hjalte Ping
Data Scientist

Ignacio Blanco
Lead Decision Scientist

Kristijan Kelic
Software Engineer

Mihael Istvan
Software Developer

Jonas Wiendl
Student Assistant

Bruno Dapic
Software Engineer

Vida Krusic
Data Scientist

Mihaela Gaspar
Student Assistant

Nino Nad
Fullstack Engineer

Alexandro Espinar
Product Designer

Antonio Paradiso
Business developer

Viktoriia Pustynikova
Business developer

Patrick Jensen
Data Scientist