Nestmetric automatically takes in raw data from a variety of sources and formats (CSV) and processes it into a form that can be used by its state-of-the-art learning algorithms. .
Nestmetric automate every step of the machine learning process, creating an end-to-end solution that works at the speed of your business.
You can use Nestmetric to evaluate the performance of each model and selects the winner on an ongoing basis.
Collects raw data points of structured data and ingests it into a machine learning framework. .
Nestmetric predictive platform adapts in real-time to ongoing data as it’s ingested, constantly learning and adapting to optimize for your strategic business goals.
The outputs of Nestmetric ’s machine learning models can be integrated directly into your user experiences and business automation tools. .
With all this power, the work that used to take months is now finished in just hours.
Users upload their data
Upload an entirely new set of data for Nestmetric to train on. This data will serve as the basis on which your machine learning model makes predictions.
Select target variables and algorithm
Nestmetric gives you the power to solve a variety of problems with a wide selection of ML algorithm and also specify what metric your machine learning model should predict by selecting different events. Nestmetric also allows you to create machine learning models for a wide variety of other business problems such as maximizing retention, increasing upsell and so on. .
Push a button to generate a thoroughly trained and optimized model that's ready to predict
Once you’ve built your machine learning model, Nestmetric lets you look “under the hood” of machine learning, giving you a detailed view of The Algorithms – how many were trained, and how did the performance of each algorithm (and each variation of each algorithm) rank