WhyLabs AI Observatory

What is WhyLabs AI Observatory?

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.

Key features

WhyLabs AI Observatory core features and benefits include the following:

• Monitor structured and unstructured data.
• Generate privacy-preserving dataset summaries.
• Provide guardrails, evaluations, and observability for ML models.
• Continuous monitoring of data quality, model drift, and key performance metrics.
• Support batch and streaming processing.

Use cases & applications

• Enhance data integrity and compliance in the financial services industry by using WhyLabs AI Observability Platform to generate WhyLogs profiles for structured and unstructured data, ensuring privacy-preserving dataset summaries and proactively monitoring data quality and model drift for regulatory compliance and risk mitigation.
• Improve patient safety and accuracy of AI models in healthcare by leveraging the Langkit integration in WhyLabs AI Observability Platform to provide guardrails, evaluations, and observability for LLMS, enabling continuous monitoring of key performance metrics and actionable insights for enhancing diagnostic accuracy and treatment outcomes.
• Optimize supply chain operations in the logistics industry with WhyLabs AI Observability Platform to monitor model performance and data quality in real-time, preventing data leakage, addressing issues proactively, and improving decision-making through actionable insights and cross-team collaboration for efficient inventory management and delivery logistics.