Putting Data to Work using the Best Scientific Models Available
Expert Models is Creme Global’s data analytics platform and engine. It contains all our scientifically validated datasets and models. Its architecture enables us to easily add models, graphs, datasets or connect to customer-specific databases.
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 and Exposure assessments to pollutants, pesticides and other chemicals.
Customers of Expert Models benefit from a suite of data management capabilities.
- Excel-like editors
- SQL editor
- Import / export
- Data types & validation
- API to data
Our platform offers best in class analytics.
- Charting libraries
- Performance analysis
- Predictive analytics
Our platform hosts and can deploy new scientific models.
- Python modules for data science model creation
- User Interfaces for inputs including forms, wizards, uploaders
- Reproducibility features for robust modelling
- Scheduling model runs
- Secure user management
- Granular user permissions
- User profile page and activity
- Data sharing
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.
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.
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.
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.
It was a pleasure working with Creme Ltd. We truly appreciated the high level of knowledge and professionalism demonstrated by Creme throughout this project.