WhyLabs, AI Observability as a Service

The emerging field of MLOps is seeing rapid growth due to the increasing adoption of enterprise AI. Model post-deployment has become a major challenge for companies, leading to the development of new tools that incorporate methods and features from DevOps best practices. Among these tools, WhyLabs stands out as an end-to-end AI observability and monitoring solution that enables transparency across different stages of ML pipelines. The platform is built on top of whylogs, an open-source library designed to enable data logging for ML systems. By capturing all possible signals about model and data health, both at the model inference stage and upstream and downstream, AI Observability solutions like WhyLabs create a feedback loop between the ML pipeline and human operators, building trust and transparency.