WhyLabs is a cutting-edge platform designed to enable MLOps with a focus on model monitoring and data monitoring. The platform is cloud-agnostic, ensuring flexibility and scalability for businesses of all sizes. With WhyLabs, users can monitor both structured and unstructured data, as well as a wide range of ML models. The platform also offers the open standard for data logging, known as whylogs, which generates privacy-preserving dataset summaries. Additionally, LangKit is available to monitor and safeguard LLMs, providing essential guardrails, evaluations, and observability.
Businesses and organizations looking to ensure the reliability and efficiency of their AI models would benefit immensely from WhyLabs. The platform is especially useful for those who want to detect and mitigate risks in their AI applications, continuously monitor data quality, and identify model drifts.
WhyLabs offers a comprehensive AI observability platform that enables MLOps with model and data monitoring. With features like whylogs and LangKit, businesses can ensure the reliability and efficiency of their AI models.