Most solar engineering work still depends on old, manual software. They take a long time, and results are not always accurate. Meet Kumo Solar – your solar engineering copilot, built on trusted PV models. Just upload your project files. Kumo Solar runs PV simulations, loss calculations, performance ratio estimates, and more — all in minutes. With the latest weather and irradiation data, Kumo Solar is over 300× faster than traditional workflows. Try Kumo Solar for free.

🌎 Introducing Kumo Solar — the solar-focused evolution of Kumo!

We built Kumo Solar as the next chapter of Kumo (our original AI for weather intelligence).

We took what worked — fast access to trusted weather + irradiance data — and rebuilt it into a product that solves a single, painful workflow end-to-end: solar power performance and power estimates.

Kumo Solar is powered by a multi-agent AI system. It can answer your questions by autonomously fetching data, analyzing the task and running the necessary code behind the scenes — so you can go from “What if we change X?” to results in minutes!

🌤️ Tired of old, slow, manual tools just to get a yield estimate that you can trust?
Kumo Solar helps you run simulations, test scenarios, and understand performance gaps — in minutes!

What makes Kumo Solar different?
✅ Upload your PAN and OND files to run simulations faster
✅ Loss calculations + performance ratio estimates, automatically
✅ Ask in chat to test different system settings — Kumo Solar updates parameters and re-runs instantly
✅ Explains whether power gaps come from weather vs. operations
✅ 15-minute power forecasts + deeper performance insights

Perfect for teams in:
⚡ Solar Developers | 🏗️ EPCs | 🔧 Operators / O&M | 📊 Performance & Asset Management

Try Kumo Solar for free! https://joinkumo.co/solar

We are SoranoAI - backed by StartX, Techstars, Stanford University, and Plug and Play!

Whoa, this is truely awesome! The no-code access to 40+ weather models is a game changer—I've spent *way* too much time wrestling with APIs before. Ngl, that's a huge time saver. So, how's the accuracy of those historical forecasts compared to, say, the standard stuff you find online?