WhyLabs

WhyLabs offered an AI observability platform designed to ensure responsible AI adoption. Their core value proposition centered around providing tools and standards that facilitate privacy-preserving logging, monitoring, and security for AI systems, including Large Language Models (LLMs). The platform's architecture was built around open-source components such as whylogs for data logging and langkit for LLM monitoring. Key use cases included monitoring model performance, detecting data drift, and ensuring compliance with data privacy regulations. Despite the company's closure, the open-sourced platform aims to support future research and iterations in AI observability by the community.