
Commodity Traders
We analyze billions of climate signals in real-time to predict commodity price movements so you can maximize your Alpha.
Data Characteristics
Trade confidently with the most predictive climate risk signals for agricultural commodities in the industry.
20 years of daily historical climate data, updated every 24 hours
14 million locations covered globally at the most granular level
Custom machine learning models for each commodity
99% accuracy of climate data, tested daily for quality assurance
Helios Horizon
Introducing the first AI co-pilot built specifically for agriculture supply chains.
Built by Harvard & Google AI/ML agri-first engineers, it leverages multi-agent intelligence, proprietary data on climate + prices, and vectorized USDA / CFTC reporting to help commodity traders ask, analyze, and act using an all-in-one platform.
The CommodiTrack™ Dashboard
Trading agricultural commodity futures just got that much easier. View trading recommendations and price updates, monitor climate risk trends, and stay informed of the latest news affecting the markets.
Highly predictive of price movements
Fueled by our proprietary risk modeling, our risk and trading signals predict large shifts in commodity prices months in advance with over 90% accuracy.
Anticipate supply disruptions before the market
Utilizing dozens of custom machine-learning models, our platform and reports identify which commodities and countries are at the highest risk for supply disruptions and how it will impact commodity prices.
Data available via API, CSV, and Excel plugins
Enhance your analysis and enhance model effectiveness using our user-friendly API, CSV files, and Excel plugin options. Our climate data seamlessly integrates into your existing models.