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Centaur announces advance release of AI-based, shipment risk simulation app

calendar icon 25.02.2022

VENTURA, CALIFORNIA – Feb, 2022 – Centaur Analytics, Inc., a leading provider of turnkey IoT SaaS solutions for quality and abundance of agricultural products, announced today that it reached an important milestone: their AI-based, shipment risk simulation app is now in advance release. This new cloud app is available to Ag traders, shippers, freight, and logistics teams, and helps accurately predict and uncover quality risks along the route of an ocean bulk carrier, river barge or container.

The software has been tried and validated extensively in ocean shipments of grain cargoes. Capabilities include running what-if scenarios (e.g. varying grain moisture), simulating demurrage, and using the tool to design an optimal blend for resiliency on a planned route.

Centaur’s unique digital-twin technology for monitoring grain in all kinds of containers and warehouses for storage, is the heart of this app. This technology uses CFD (Computational Fluid Dynamics), an advanced simulation technique, for simulating the propagation of thermodynamic parameters within the mass of the grain stored or transported. Powered by Machine Learning algorithms this technique predicts grain respiration and risk of mold development for every ounce of product mass. As a result, this technology evaluates accurately the risks of grain spoilage from high temperature and mold development, in every hold of a vessel / barge along its route.

“Centaur’s digital-twin technology for grain management has been deployed in numerous grain storage and logistics use cases and is the only technology of its kind. It was first introduced in commercial sites in 2017, and launched in on-farm storage in 2019. With this release of the shipment risk simulation app, Centaur brings this technology to maritime ag logistics, where no similar solution existed before. Freight teams used to rely on empirical formulas (e.g. correlation of product temperature and moisture to safe transit duration) which were not optimized for specific crop types and climate conditions and were thus unreliable.” said Faye Beligianni, Project Manager of Centaur Analytics.

“Using this technology for transporting grain commodities around the globe will help to dramatically reduce spoilage and rejected shipments due to quality. This is equivalent to optimizing land use, especially since soybean production has been tied to deforestation in the Amazon. Adding to this is,  offsets in GHG emissions are achieved by preventing shipments that would result to rejections at the port of destination. Therefore, sustainability benefits are compounded.”

Media Contact: Faye Beligianni,