Ensuring food safety, pre and post harvest,
from farm to fork.
Creme Global are world leaders in the application of data and digital technologies to the agri food industry and it’s growers.
Overcome complexity and risk in agricultural production and food safety.
Our experts can help you model and predict the risks in your agricultural production, support your regulation compliance, enhance food safety management and proactively develop new strategies for outbreak prevention.
food safety models
Our industry-leading anonymous data collection and predictive models have a proven track record in driving food safety and opportunities in agricultural production and food safety.
Estimate human exposure and risk to pesticides from different diet and residential sources across all routes of exposure.
Working with growers to autonomously and anonymously improve and enhance food safety management and proactively develop new strategies for outbreak prevention.
Create opportunities to speed up time to market and lower the cost of bringing new produce to market.
“Western Growers partnered with scientific modeling and data analytics service Creme Global to create a comprehensive food safety data-sharing tool. This will allow participating growers to autonomously and anonymously improve and enhance food safety management and proactively develop new strategies for outbreak prevention.”
The WG Committee
We work with some of the leading chemical companies and growers.
We work with leading organisations in the agri-food science industry. Explore the work we did for them.
Safer products with CARES NG
CARES NG is a cloud-based probabilistic modelling tool that is built upon public data and used to estimate aggregate and cumulative exposure to pesticides.
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Food safety and consumer health are of utmost importance for the food industry. But even with so many controls in place, foodborne illness can still occur. New approaches are required to enable companies to take a more preventative approach to food safety. So why are companies turning to AI to solve this challenge?