Prediction infrastructure for the agentic era
Help your agents see what comes next.
Sorano continuously improves your forecasts. Add Sorano on top of your system.
Agents can think.
Agents can act.
Now they need to see the future.
Keep your models. Make their predictions better.
Sorano works on top of the forecasting systems you already use, and continuously improves what comes out.
- Keep what you already have.Your models, providers, and proprietary methods stay private.
- Works across every domain.Revenue, demand, energy, markets, risk, weather — and beyond.
- Fits your stack.API for software. MCP for agents.
For enterprises
We improve your forecasting — you keep your models.
Our team works alongside yours to sharpen the forecasting systems you already run — from sales projections to natural gas prices — without replacing your models or exposing your data.
One live use case — weather
We put Sorano on top of the world's leading weather models — and made them better.
Sorano already works across cutting-edge traditional and AI-based weather models, continuously learning how their predictions perform and improving the outputs.
Leading models improved
Every major model we tested improved with Sorano — GFS, IFS, ICON, HRRR, ENS, AIFS, and NWS.
More accurate on average
Consistent improvement across leading forecasting models.
Improvement
Some individual forecasts improved dramatically.
Same models.
Better results.
Sorano didn't replace the underlying forecasting systems — it improved what came out of them. Weather is one application. Sorano is the layer underneath.
Different forecasts. One Sorano layer.
Agents can reason. Agents can act.
The next frontier is knowing the future.
FAQ
Questions, answered.
What does SoranoAI do?
Is SoranoAI a weather company?
How does Sorano actually make forecasts better?
How is Sorano different from a forecasting tool or a weather provider?
What can Sorano improve forecasts for?
How does Sorano connect to my systems?
Who is behind SoranoAI?
Interested in improving your forecasts?
Contact us and we'll get back to you.
Thanks — we'll be in touch.
