HOW WE HELP CLIENTS
Agricultural Input Manufacturers & Distributors
Identify where and how to expand by reaching grower markets with new products and services.
Commodity Buyers & Traders
Evaluate risk-management and procurement processes to minimize both risk and cost.
Governments & Nongovernmental Organizations
Make smarter decisions in value-chain selection by using cutting-edge digital tools in the agriculture, livestock, and fishery markets.
Investors
Stay ahead of the curve by identifying growth hot spots in the agriculture and food markets.
Farm Operators
Improve farm operations by deploying best-in-class digital technology and agricultural analytics.
Fishery Operators
Improve the profitability and sustainability of
OUR APPROACH
Custom analysis
We leverage our vast data repository and market expertise to solve your toughest problems, working side by side with your teams to customize a solution for you.
OUR CAPABILITIES
Predictive analytics
We use modern machine-learning and artificial-intelligence methods to forecast movements in commodity yield, quality, and price.
Geospatial analytics
We combine multiple layers of agronomic, weather, and satellite data to identify opportunities at the micromarket level.
Digital deployment
We build custom applications that integrate with existing systems to enable sustainable, real-time
Cloud infrastructure
We collect millions of datapoints with an automated ingestion and processing engine to enable faster insight generation.
OUR DATA
Economic and trade
Real-time, global commodity prices, production costs, and other indicators; import and export flows—today and in the future.
Climate and weather
More than 117 high-resolution variables, including real-time weather and 2030 and 2050 climate scenarios.
Agronomic
Global agronomic data, including yield, soil, and topography data.
Satellite
Global satellite-imagery coverage from multiple sources.
Examples of our work
Our work spans 6 continents
We continue to expand our global reach, helping clients across the agriculture and food value chains.
More than 95 percent accuracy in a crop-yield forecast
Helped a North American food company trying to make better ingredient-purchasing decisions.
Climate and weather
More than 117 high-resolution variables, including real-time weather and 2030 and 2050 climate scenarios.
40,000 highly suitable hectares identified
Used geospatial analytics to determine crop fit for a large-scale plantation owner in the Middle East.