Superwise
A platform that provides tools for monitoring, managing, and optimizing machine learning models in production. Superwise helps companies ensure that their machine learning models perform well over time.
Services
Working with Superwise as a solo designer, I was responsible of every design aspect in the company
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Metrics
Metrics are measurements used to evaluate how well a machine learning model is performing. Superwise automatically computes various metrics for each part of your data, and you can also create custom metrics. These metrics help you understand and improve your model's performance.
Adding models
Adding a model to Superwise is the fundamental step users must take to begin benefiting from the system. To simplify this technical process, we've created a four-step wizard designed to make it as easy and straightforward as possible. However, this action typically requires the expertise of ML engineers.
Segments
Users can create segments to better understand how their model performs across different groups or categories within their data. By creating segments, users can gain deeper insights into their model's performance and make more informed decisions about how to optimize it for better results.
Incidents
Incidents are created when a monitoring policy detects anomalies in model behavior. Users can drill down into each incident to investigate anomalies, view metrics, and compare distributions, helping them understand the cause of the issue and take corrective actions.
Analytics
Superwise's analytics screen allows a free explorations on data and models. We designed the screen in a way that presents the data in a more visual way that will allow users to better understand the data, monitor performance, identify issues and optimize their models