Simple
Scalable
Customizable
Secure
Easy to start
Just create an account, register your model, and start logging predictions.
No intensive integration with your model artifact. Just straightforward logging. Check out our docs and quickstart notebook.
Just getting started with ML monitoring? Get the Superwise community edition – 3 models, 3 users, FREE forever.
Your account comes preconfigured with all the typical data, integrity, and activity metrics. Just add your custom data, drift, performance, and bias metrics and you’re good to go.
Use our monitoring templates for common use cases such as missing values and training-serving skew. Need something different? Customize any existing template or build one from scratch.
Easy to scale
From 1 model to 1 million models.
Superwise is built to enable seamless model observability at any scale.
Everything in Superwise is accessable via our API and SDK. Extract any data, integate into any pipeline or workflow.
Have dozans of replicas of the same model? Control monitoring and configurations for the entire model group on the project level.
Focus only on what matters with Superwise’s incident investigation. We’ll dynamically pull together everything related to the anomoly into one unified view.
Easy to customize
Need customization? No worries! Customize, metrics, monitoring policies, notification channels, and more.
Easily customize your metrics down to the function level.
Tailor your alerts to your teams processes, workflows, and stacks.
You control exactly what’s considered an anomaly. Control the sensitivity, boundary direction, or even a normal period to learn behavior from.
Have something really custom in mind? Want to retrigger a retraining pipeline? Dive into our API and SDK and customize anything that you want to.
Always secure
Superwise is enterprise-grade for a reason.
Superwise supports enterprise-grade account management. Manager users, tokens, authentication and track audit logs.
Whatever your deployment needs, Superwise is easly deployable with our installation kits.
