Mind Foundry assists you by suggesting additional updates for you to consider, enabling you to impart your domain knowledge and attain maximum performance.
The model building process explores an expansive library of options, selects the best one and tunes it to optimise its predictive power. Machine learning squared.
Put your model to work by performing interactive, bulk predictions in the interface or publish your model as a web service at the press of a button.
Explore the details behind your models to learn the intricacies of how they work and gain confidence in them before they are put to use.
Everything in one place means reliable, reproducible, hassle-free data processing. No need to pay for or use additional data preparation technologies. Mind Foundry offers everything you need in a single platform.
multiple datasets from Excel files or connect to a range of database and other remote sources
using bulk data immediately within the product or through automatically deployed APIs
your data set with a range of visualizations, interactive data preparation and a pro-active advisor
performance with our model explorer including a range performance metrics, model health, feature importance and impact assessment visualizations
your solutions within the product on new and unseen data
Identifying customers that are likely to churn from your customer base is a primary business function for any service provider. Mind Foundry can help you leverage customer records, demographic data or any other data you have about customer interactions with your company to identify customers that are likely to churn in the near future.
Imagine you are a car insurance company. Rather than rely on actuaries to produce a single statistical model for all the company's clients, Mind Foundry can help you predict the total lifetime cost associated with insuring any particular driver using the data gathered about their individual driving styles and experience recorded in their car.
Predicting total lifetime cost of insurance is an example of a problem where the answer can take any value. This makes it different from customer churn, where the answer is a choice, or a decision. Other examples of this type of problem include predicting load on a telecommunications tower in the next hour.