Expert Models - Data Analytics Engine Software

This creates the basis for our experts to develop new models in order to gain new insights into our customers’ data. The results are presented in a customizable interface designed by our user experience team.

Creme Global’s major customer groups include industry leaders in the food, cosmetic and chemical sectors as well as research and governmental organizations. However, our solutions apply across all industry verticals.

The Expert Models platform contains solutions for:

• Supply Chain risk management
• Technology scouting link
• R&D data management
• Personal nutrition
• Food product design
• Exposure assessments to pollutants, pesticides and other chemicals

Expert Models
Computing Infrastructure

Expert Models is built on top of Amazon Web Servers, the same stack that runs Netflix, Airbnb, Slack, Adobe and is used by NASA. As well as best in class security, Amazon gives incredible scalability that can be automated for user load. We have added our own proprietary technology to scale for the processing loads required by data models. This means you will never run out of memory or be short of computing power.

Cost-Effective

A leading reason to put your project onto our platform is the cost saving. We have already built many of the essential primitive elements that make up a data science solution. These include account management, data editors, file management systems, data up-loaders, modelling engines. We can bring primitive elements together quickly and get you up and running in days. Our platform can be white labelled so it is entirely your product, or run as Expert Models.

Advanced Security

Your data will have the same level of safety demanded by the world’s leading tech companies. On Amazon Web Services we can guarantee one point of entry that is highly secure. Hosting data within your organisation is often less secure unless web security is your core competency.

Collaboration

The cloud immediately makes collaboration an obvious step. Expert Models provides a shared folder where users can share assets they wish their team to have access to. Deploy your analytics in user-friendly interfaces to anyone through a web browser.

Accuracy & Reproducibility

We spend a lot of time thinking about how to achieve accuracy and reproducibility in our analytics products. Accuracy is achieved through validated code and validated data. Reproducibility is achieved by keeping copies of the essential data for re-creating scenarios.