Data Trust Frameworks for Secure and Anonymous Data Gathering and Food Safety Use Cases
At IAFP Conference Brendan Ring, Commercial Director at Creme Global was invited to talk about Data Trusts and the work we have done with various clients.
Industries We Work With
We work with the largest food, cosmetic and chemical brands in the world and also with main industry regulators in both the US and Europe.
Our Platform
Our platform hosts products designed and developed to advance global health and safety and improve the way your data is used. Find out more about the way we handle complex projects and help our clients gain valuable insights.
Our Services
We provide various expert services and solutions that enable you to get the most out of your data and gain new and clearer insights.
What Motivates Us
We are on a mission to enable better decision-making in a complex world using science and data.
Scientific Modelling
Release the full power of your data and discover key insights to answer the questions that matter to you with scientific modeling and analytics side of our platform. Log in to run predictive models and analyse results.
Data Portal and Visualisation Dashboard
Data Portal is a unique and powerful solution for organizations and consortia seeking a user-friendly, robust way to gather and centralize data from multiple sources. Log in to submit your data or to view your dashboards.
At IAFP Conference Brendan Ring, Commercial Director at Creme Global was invited to talk about Data Trusts and the work we have done with various clients.
Creme Global Head of Data Modelling and Statistics, John O’Brien, offered his insights for the discussion paper ‘AI & Predictive Analytics for Food Risk Prevention’, published as part of the EU-funded digital transformation initiative called Big Data Grapes.
Before your inbox gets filled with heart emojis and other love related imagery ahead of Valentine’s Day, now is the perfect time to consider what you’re doing to keep your real heart healthy.
Gain critical business intelligence
from shared, anonymized data.