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Developing
stochastic analytical modeling tools for the public and private sector
is the cornerstone of AgriLogic’s success.
Our reputation has been built on developing immediately useful decision-making
analytical tools that exceed client expectations. Our team of statisticians,
mathematicians, economists, and information technologists are experienced
in developing unique, specialized dynamic models tailored to analyze
specific complex systems. The tools created have been used to quantitatively
capture the risk of loss events in areas of multiple disciplines within
the food and fiber system, including their financial and economic implications. AgriLogic’s
unique approach varies dramatically from the traditional deterministic
approach taken by others in the agriculture industry.
As an industry leader in the agricultural risk management sector,
AgriLogic’s use of stochastic-dynamic methodologies generates
significantly more robust outcomes of the impacts of potential adverse
agricultural events. This allows our public and private sector clients
to analyze policy decisions impacting our nation’s food and
fiber supply in a more realistic modeling environment.
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