Superwise
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About
Superwise is a model observability platform that helps teams monitor, debug, and improve their machine learning models in production. It offers a range of features including data quality monitoring, drift detection, bias tracking, performance analysis, and explainability tools. Superwise is SOC2 Type II compliant and can be deployed in the cloud, on-premise, or in hybrid environments. It integrates with existing ML stacks through an API-first platform.
Platform
Task
Features
• data monitoring
• data quality
• input drift
• bias monitoring performance analysis model shifts explainability version comparison anomaly investigation observability management llm monitoring
• drift monitoring
• model metric store
• ml monitoring
• ml observability
FAQs
How do I get started?
All you need to do is [create an account](/sign-up)! 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](/request-demo/).
How does superwise integrate with my ML stack?
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](https://docs.superwise.ai/docs/quickstart) to learn more.
How much does Superwise cost?
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](mailto:info@superwise.ai).
How do model plans work?
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.
How do I log production predictions?
Production predictions can be logged in stream, via batch collectors, local files, or through the UI with CSV files. Check out our [documentation](https://docs.superwise.ai/docs/log-predictions) to learn more.
Can I monitor actuals with delayed feedback?
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.
How can superwise be deployed?
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](mailto:info@superwise.ai).
Is Superwise SOC2 certified?
Superwise is SOC2 type2 compliant to request the full report, contact us at [legal@superwise.ai](mailto:legal@superwise.ai).
How do I send superwise metrics and insights to my BI?
Superwise is an [API-first platform.](https://docs.superwise.ai/docs/api-sdk-overview) 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.
Pricing Plans
Scale
Unknown Price• Unlimited models
• Unlimited users
• Unlimited predictions
• Account Manager + Slack support
• SSO
• OnPrem
• Versions
• Metrics
• Segments
• History
Community
Free Plan• 3 models
• 3 users
• 1M predictions per model per month
• Slack community support
• SSO
• OnPrem
• Versions
• Metrics
• Segments
• History
Job Opportunities
There are currently no job postings for this AI tool.
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