WhyLabs AI Observability Platform is a tool that allows users to monitor both structured and unstructured data, including ML models like LLMS.By leveraging the innovative WhyLogs open-source standard data logging, users can generate privacy-preserving dataset summaries known as WhyLogs profiles to ensure data integrity and compliance.

With Langkit integration, the platform provides guardrails, evaluations, and observability for LLMS, enabling data-driven enterprises in various verticals to extract actionable insights and ensure AI models' accuracy and reliability.

The platform serves industries such as financial services, logistics, manufacturing, retail, e-commerce, and healthcare by safeguarding against AI bias, opaqueness, business risks, and ensuring patient safety.

Through continuous monitoring of data quality, model drift, and key performance metrics, WhyLabs enables teams to proactively address issues, prevent data leakage, and improve AI applications through user feedback and cross-team collaboration.

Compatible with both structured and unstructured data, the platform supports batch and streaming processing and seamlessly integrates with existing data pipelines and multi-cloud architectures for real-time actionable insights at scale.