Transforming the food safety and nutrition industry with data-driven insights.
Creme Global’s data-driven solutions are designed to elevate food safety and nutrition standards across the industry. Our advanced analytics and modeling tools enable you to meet regulatory challenges head-on while enhancing the nutritional quality of your products.
We can help you overcome complexity and risk in food manufacturing, product safety and product development.
SERVICE
Food Safety Exposure Assessments
We can run your standard or probabilistic exposure assessments and deliver a full report on of the methodology used, the results and our observations.
SERVICE
Nutrition Intake Modelling
Nutrition intake modelling allows us to understand population food, energy and nutrient intakes which forms the basis of food nutrition and public health policies and to assess patterns and trends in a population.
SERVICE
Data Collection Services
Our platform allows industry to securely and anonymously collect and share data. Gain further insights through powerful visualisation dashboards.
Our industry leading software solutions are revolutionising food product safety.
Creme Food Safety
Creme Food Safety is our unique software tool that helps you quantify aggregate exposure and develop safer products faster and more effectively.
Explore our work with leading organizations in the food safety and nutrition industry.
CASE STUDY
This case study describes how building an anonymous data sharing platform gave Fiin members a broader view of what is happening with supplies from across the globe.
CASE STUDY
The SAFE programme aimed at mitigating against the risk of bacterial contamination in the food supply chain in a smarter, faster and more specific way while also improving sustainability.
CASE STUDY
ILSI – Commercial Fats/Oils Substitution Project
The creation of a food ingredient with health benefits can have far-reaching potential, especially when it is a suitable substitute for widely used ingredients.
Trusted by food industry leaders and main regulators.
Our work is recognised by leading food companies and main regulators in both Europe and the United States.
Creme Global team have always gone to great lengths to accommodate my requirements and provide technical support when needed. I have no hesitation in recommending Creme Global to anyone interested in modelling exposure scenarios.
Christina Tlustos, Food Safety Authority of Ireland
Food Safety Exposure Assessments
We can run your standard or probabilistic exposure assessments and deliver a full report on of the methodology used, the results and our observations.
Nutrition Intake Modelling
Nutrition intake modelling allows us to understand population food, energy and nutrient intakes which forms the basis of food nutrition and public health policies and to assess patterns and trends in a population.
Looking for unique points of view? Visit our articles section for expert guidance, timely updates and inspiring stories.
Recently the U.S. Environmental Protection Agency (EPA) and commercial organizations have been transitioning towards using CARES NG (Cumulative and Aggregate Risk Evaluation System, Next Generation) software for their pesticide risk assessments. Estimation of dietary exposures to pesticide residues in agricultural and livestock commodities is critical in regulating the safe use of pesticide products. The EPA and commercial organizations have long used the Dietary Exposure Evaluation Model-Food Commodity Intake Database (DEEM-FCID or DEEM) successfully for such purposes. However, there is no current plan to upgrade or maintain DEEM beyond the current version (DEEM 4.02) which is based on outdated 2005-2010 NHANES/WWEIA food consumption survey data. The DEEM-FCID alternative. An alternative cloud-based model, the Cumulative and Aggregate Risk Evaluation System-Next Generation (CARES NG), is being developed by Creme Global with the support of the non-profit CARES NG organization. CARES NG, is a cloud-based probabilistic model that is built upon public data and used to estimate aggregate and cumulative exposure to pesticides. CARES-NG is now the recommended tool to estimate these exposures due to its enhanced functionality. Commercial organizations are now using it to evaluate new active ingredients for regulatory review and market launch. Evaluate aggregate and cumulative risks. CARES NG evaluates both aggregate and cumulative risks, meaning it looks at exposure to multiple pesticides across different routes (dietary, residential, etc.) and considers combined exposures for individuals and populations. Enhanced features: CARES NG is able to model exposures from food, water, and other non-dietary sources. It also incorporates updated consumption data and improved
Maple Leaf Foods 14th Annual Food Safety Symposium Highlights
Dr. James Doyle, Director of Global Accounts at Creme Global, attended the renowned 14th Annual Food Safety Symposium hosted by Maple Leaf Foods. This premier event brought together leaders in food safety and quality from across the industry, offering a platform to discuss advancements, challenges, and future trends in food safety. Held under the theme of AI’s transformative role in food safety, the symposium covered topics from data-driven decision-making to predictive analytics in maintaining food quality. Dr. Doyle, alongside Conor Cahill, Head of Science & Innovation at Dawn Farms, also gave a joint presentation, adding valuable insights on the evolving landscape of food safety. Case study examples presented by Dawn Farms Foods highlighted a machine learning (ML) solution to revolutionize the food product development process with PeRCEPTION. PeRCEPTION utilizes AI to digitalize human sensory responses, enhancing new product development (NPD) without compromising food safety. “AI and food safety are deeply intertwined, with AI transforming our business in ways we are only beginning to understand,” said Curtis Frank, President and CEO of Maple Leaf Foods. Key highlights and takeaways from the event: Using AI to Drive Business ValueThe symposium emphasized how AI is creating tangible business value in the food industry. By automating processes and enabling data-driven decision-making, AI helps companies improve efficiency, enhance safety standards, and meet consumer demands more effectively. The Importance of Data Quality and PrecisionPrecise data acquisition and data quality are foundational to leveraging AI effectively. Speakers highlighted how accurate, high-quality data improves AI model performance, leading
Modelling your financial product risk of contaminated products
In highly competitive industries, improved understanding of the financial exposure risk profile from being associated with contaminated products in the market is increasingly important. By using data organised in structured data sets and through the application of science-based mathematical models, Creme Global quantifies detailed risk profiles that can simplify risk management decisions and mitigate financial risk.
Partner with us for food safety excellence.
Request a Creme Food Safety demo or enquire about all the ways we can help your business ensure product safety and achieve regulatory compliance.