Data Collection & Data Analytics

Data modelling and data science rely on quality data in order
to produce robust and valid results.

Secure Industry Data Transfer

We work with industry to gather and anonymise data in order to create predictive models. We provide standard data templates and a secure data upload service on our site to facilitate convenient, secure and accurate transfer of data from partners to us.

Data Validation and Checking

When we have received the data, we analyse data and carry out standard checks as part of our quality assurance process.

We use statistical tools to visualise the data in order to understand important factors in our models.

Once the data is checked and analysed, we create predictive models that provide actionable information for our partners.

Building a Software Solution

We take the validated data and models and build a software platform to allow you to tailor exposure analyses and view results in an easy-to-understand reporting system.

Examples of our models that we have developed in partnership with industry are CARES NG, the FACET model, the Creme RIFM model and Creme Food Safety.

Predictive Models Delivered

The data is combined with our predictive models in the cloud to provide simple and powerful access to decision making tools for our clients.

During our long-lasting collaboration with Creme, the team has always demonstrated technical competence and provided rapid feedback in resolving all day to day problems related to the use of the software. Moreover the team have shown that they have the capability of supporting their clients in their efforts to develop new ideas and share their customers’ enthusiasm for achieving important goals.

David Arcella, Researcher, INRAN

It was a pleasure working with Creme Ltd. We truly appreciated the high level of knowledge and professionalism demonstrated by Creme throughout this project.

Dr Barbara Hall, L’Oreal and Chairperson of Colipa Safety Team
Colipa European Cosmetics Industry Association