From Deep Insight to Exponential Growth
Our novel agritech solution allows you to make informed decisions and build a robust, resilient, and profitable future for global agriculture.
We build a digital model of the landscape you operate in, including infrastructure, assets, and people. We dynamically update the model with data from satellites, sensors and auxiliary sources to reflect the state of the system, then run thousands of simulations to identify the optimum solution to your problem. Even where data are lacking this innovative approach means we can still deliver valuable insight.
Our computational simulations provide critical and predictive insights for decision-making in land dependent industries replacing slow and labour intensive data collection and analytics. Modern agriculture is data-driven, and profitable production relies on getting operations right.
Get early prediction and insight on crop quantity and quality to guide your decisions before harvest.
Helps you direct harvest resources to the right place at the right time for optimal yield.
Agent Based Modelling
Simple rules combine to deliver
Agent based modeling (ABM) underpins our computer simulations, and means we deliver uniquely predictive and prescriptive insights. In this methodology, individual agents follow prescribed behaviour rules, and interact in a shared spatial environment which evolves over time. Integrated remote sensing and GIS layers define the spatial environment that agents operate over, respond to, and modify.
Agent based modelling allows for users to be involved in its design, as it is driven by intuitive rules, and it handles varied data and behaviours. Outcomes emerge from these bottom-up rules, and one can test policy effects in advance – and thus find the best policies among many options.
Our Clients and Operational Regions
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