Superwise - ML Model Observability Platform

Superwise ML Model Observability Platform

Freemium

Home: https://superwise.ai

Productivity

#model observability
#model monitoring
#data quality
#Drift Detection
#bias monitoring
#Performance Analysis

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What is Superwise?

Superwise is a robust platform designed to provide full ML observability. It helps data scientists and ML engineers to ensure the ongoing health and performance of machine learning models in a production environment. The platform offers capabilities for creating, customizing, and automating ML monitoring with a vast library of pre-built and customizable metrics for data, drift, performance, bias, and explainability.

With Superwise, users can easily identify and investigate model shifts, track performance continuously, analyze changes, and drill down into granular data to pinpoint the root cause of any issues. It also offers features for explaining model behaviors, comparing versions, and managing incidents, ensuring that potential problems are resolved before they impact business operations.

Features

ML Monitoring: Easily create, customize & automate your ML monitoring with our library of metrics, policies & notification channels.
Model Metric Store: 100+ pre-built & fully customizable metrics for data, drift, performance, bias, & explainability.
Data Monitoring: Monitor data quality metrics or build custom integrity metrics.
Drift Monitoring: Customize drift metrics from a-z – distance functions, features, datasets, timeframes, sensitivity, and more.
Bias Monitoring: Build any bias metric your business needs and monitor them across different protected classes and sub-groups.
Performance Analysis: Track performance continuously and analyze changes, and drill into behavior segment by segment.
Explainability: Explain model behaviors on the global, cohort, and individual decision level.
Version Comparison: Analyze and compare versions, datasets, and production timeframes to detect changes.
Anomaly Investigation: Correlate and group anomalies to quickly pinpoint casualty and resolve issues.
LLM Monitoring: Gain visibility into LLM and prompt/response behaviors and detect drift, security issues, and privacy violations.

Use Cases

Fraud detection
Data quality assurance
Input drift detection
Bias monitoring in machine learning models
Performance analysis of models
Model shift identification
Model behavior explainability
Version comparison of models
Anomaly investigation in model predictions
LLM behavior monitoring

FAQs

How do I get started?

All 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.
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 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. If you need a scale or enterprise plan, contact us.
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 to learn more.
Is Superwise SOC2 certified?

Superwise is SOC2 type2 compliant to request the full report, contact us.