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From missing values to concept drift, Superwise makes sense of models in production, so teams know when models misbehave, what happened, and what to do next.
Superwise model observability gives you visibility and context into your models’ behaviors, so you can easily express and monitor model risks as they relate to your business and seamlessly collaborate to resolve issues. With Superwise, data scientists, ML engineers, and business ops get intuitive model observability without the alert fatigue so you can be confident about your model management and focus on the fun things in life like building newer, better models.
Already used by top-tier organizations, Superwise monitors millions of predictions daily, helps ML practitioners see beyond statistical noise, and focuses teams on real model issues impacting business operations across various use cases. Implemented use cases include Customer Lifetime Value (CLV) predictions, fraud detection, lead scoring, underwriting, credit risk, and more. Recognized for its innovative technology and approach, Gartner was named Superwise as a 2020 Cool Vendor in Enterprise AI Governance.
Model usage-based pricing that lets you pay as you go.
Only pay for the models that you monitor.
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Great observability needs to support high-scale, and when it comes to models, once they’re in production and business-critical, they scale like nothing else in the engineering world. A model (singular) is relatively easy to monitor and maintain. The same cannot be said when you have dozens, hundreds, or thousands of models running in the real world, each made up of hundreds to thousands of features. The amount of noise and alert fatigue that can result in is no joke.
Superwise automatically discovers and computes an extensive set of metrics for each element in your training dataset and across the model production inference flow (raw data, features, inferences, label), including:
Superwise’s anomaly detection makes it possible to detect abnormal events automatically across different versions and subpopulations while considering seasonality and adjustments for new temporal behaviors.
Superwise correlates and groups anomalies into incidents to deliver a big picture overview of why models are misbehaving – giving you everything you need to quickly pinpoint casualty and resolve issues faster.
Superwise is an open platform – we’re model and platform agnostic and 100%
API-first. You can access anything in Superwise with our APIs, giving you
complete control over logging, triggering processes, and even extracting trends
to reflect them in your organization’s BI tools.
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