SUPERWISE® AI Platform: Master AI, Own the Results

Run AI that works as hard as you do. Control it with ironclad governance. Track it with real-time precision.
Automate it across any scale. The platform for real-world wins.

Data quality

Just select the data quality metric that you need to monitor or build a custom integrity metric for your use case.

Input drift

Customize your drift metrics from a-z – distance functions, features, datasets, timeframes, sensitivity, and much 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.

Model shifts

Easily identify and investigate model shifts and drill down into granular data to pinpoint the root cause

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 before they impact your business.

Observability management

Centralized model monitoring management per use case. Build segments, manage configurations, and create monitors once for multiple models.

LLM monitoring

Easily gain visibility into LLM and prompt/responce behaviors and detect drift, security issues, and privacy violations.

Monitor the metrics that matter. Select from predefined data quality measures or craft custom integrity metrics tailored to your specific use case—ensuring precision without the hassle.

Explore data metrics

Stay ahead of data shifts. Customize drift metrics with precision—adjust distance functions, features, timeframes, and more—to detect changes before they impact your models.

Monitor drift

Ensure fairness on your terms. Develop and monitor bias metrics that reflect your business values, promoting compliance and equitable outcomes across all operations.

Track bias

Optimize in real-time. Continuously monitor performance, swiftly identify deviations, and delve into segment behaviors to maintain peak efficiency.

Explore performance metrics

Anticipate and address changes. Detect model shifts early, investigate underlying data, and resolve root causes proactively to safeguard your operations.

Explore analytics

Illuminate decision-making processes. Provide clear explanations for model decisions at global, cohort, and individual levels, enhancing transparency and trust.

Explore explainability

Evolve with confidence. Compare model versions, datasets, and production timelines to identify changes and optimize performance without uncertainty.

Track versions

Resolve issues swiftly. Aggregate anomalies, identify their origins, and implement fixes promptly to prevent potential costs and disruptions.

Explore incidents

Streamline oversight. Centralize monitoring across all use cases, enabling efficient setup and effortless management of multiple models.

Manage projects

Maintain control over your language models. Gain comprehensive visibility into LLM behaviors, detect drifts, and address privacy and security risks effectively.

Explore LLM monitoring

Try the community edition

No credit card required.

Easily get started with a free
community edition account.

				
					!pip install superwise

Build your project

				
					import superwise as sw
project = sw.project("Fraud detection")
model = sw.model(project,"Customer a") 
policy = sw.policy(model,drift_template)

Start monitoring

We use SUPERWISE on a daily basis to get transparency and detect drift and model decay. Enabling us to better understand changes, connect them to real events and data bugs, and make better decisions and move even faster than before.

— Ohad Hegedish, Data Scientist

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