Take a dive into the Superwise model observability platform capabilities.
Everything you need to observe ML system behaviors and keep your ML healthy in production.
Easily create, customize & automate your ML monitoring with our library of metrics, policies & notification channels.
Hit the ground running with 100+ pre-built & fully customizable metrics for data, drift, performance, bias, & explainability.
Everything you need to get started with Superwise, from tutorials to recipes and API references.
Open-source library in Python letting you extract metafeatures from unstructured data.
Need some help getting started with model observability? Our team will walk you through everything you need to know.
Learn how model observability can help you and your team monitor ML.
Whitepapers, use cases, and research. Everything you need effectively assure the health of your models in production.
Leading ML practitioners from across the globe on what it takes to keep ML running smoothly in production.
Everything you need to know about all types of drift including concept drift, data drift, and model drift.
A framework for building, testing, and implementing a robust model monitoring strategy.
Discover, search, compare & add LLMs to the garden.
Who we are, how we got here, and where we’re going.
What’s new with Superwise.
Join our webinars on ML observability and meet the teams at events across the globe.
Make a Superwise move and join our team.
Need help getting started? Looking to colaborate? Contact us!
Simple model usage-based pricing means you don’t get locked into big contracts.
Discounts trigger as your usage grows, so you always get a fair price.
Talk with our sales team for access to deeper discounts when you commit to usage.
Community
$0/month
Your first 3 models are free forever
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Custom plans available
Contact salesAll you need to do is create an account! You’ll automatically be set up with a community edition account that includes 3 free models. You can also schedule a demo with us here.
Superwise is model and platform-agnostic – it works with any type of stack. The only thing you need to do to start with model observability is log inferences. Check out our quickstart guides to learn more.
Your first 3 models are entirely free, with up to 1 million predictions per month per model. The community plan has no time, feature, or environmental limits. Use it in production and get immediate visibility into how your models are behaving in the real world. If you need a scale or enterprise plan, contact us at info@superwise.ai.
On scale and enterprise plans, you’ll select a tier depending on the number of models that you need to monitor a month. There are no hidden limitations in any of the plans – all features are fully available to all users in all the plans.
Production predictions can be logged in stream, via batch collectors, local files, or through the UI with CSV files. Check out our documentation to learn more.
You can log actuals together or separately from predictions regardless of the feedback delay. The same unified logging API is used, therefore log in stream or batch similarly to logging predictions data.
A standard Superwise account is self-hosted in the Superwise GCP cloud. In addition, Superwise can be deployed on managed or private cloud instances (AWS, GCP, or Azure) or on-prem. We’re happy to walk you through this – just contact us at info@superwise.ai.
Superwise is SOC2 type2 compliant to request the full report, contact us at legal@superwise.ai.
Superwise is an API-first platform. Everything is accessible via our API to allow organizations not only to export observability data into bespoke BI systems but to fully automate workflows with the API.