AI Forecasts to Tackle Price Volatility & Weather Risk

We collect data from thousands of global sources, including over 100 years of weather records, historical yields, satellite imagery, global supply and demand trends, prices, and more.

Our proprietary weather forecasting methodology combines forecasts from leading global climate agencies, selecting the most accurate forecast for each region based on historical performance. This innovative approach delivers superior accuracy compared to individual forecasts.

Our AI models achieve an average of 96.8% accuracy on the final estimates and an average of 95% accuracy 6 months ahead of the market.

Customers rely on the Octopusbot platform for precise seasonal weather forecasts, regional crop yield predictions, data-driven commodity trading decisions, grain origination insights, and demand forecasting based on crop performance.