About WhyLabs
WhyLabs provides an AI and data observability platform (with open-source components like whylogs) that captures statistical profiles of datasets and model I/O to detect anomalies, drift, and data-quality issues while preserving privacy. The platform includes an AI Control Center for observing, securing, and optimizing ML and generative AI applications.
Key Features
- whylogs data profiling — lightweight, mergeable statistical summaries for datasets and streams
- Anomaly and drift detection — automated baselining and alerts for data and model signals
- AI Control Center — capabilities to Observe, Secure, and Optimize AI applications
- Integrations and privacy-preserving sketches — run in pipelines or as sidecars with multiple integrations
Use Cases & Best For
Data engineers and ML teams needing data and model observability with privacy-preserving logging
Enterprises requiring centralized monitoring and control for production ML and generative AI
About Model Evaluation
Test and evaluate AI models