About WhyLabs

WhyLabs was designed to address the growing need for responsible AI adoption by providing tools and frameworks that enhance AI observability. As organizations increasingly integrate AI into their operations, ensuring transparency, accountability, and compliance with ethical standards becomes critical. WhyLabs facilitated this by enabling users to monitor and evaluate AI systems effectively, thus mitigating risks associated with bias and privacy violations. Key features of WhyLabs included an open-source platform for AI observability, the whylogs standard for privacy-preserving data logging, and the langkit toolkit for monitoring large language models (LLMs). These tools were aimed at data scientists, AI engineers, and organizations committed to responsible AI practices. By fostering a community centered around robust and ethical AI use, WhyLabs empowered teams to implement best practices and maintain the integrity of their AI systems, ensuring a more trustworthy and responsible approach to AI technology.

Pricing & plans

Pricing model: paid

Enterprise plans typically include dedicated support, custom integrations, and volume discounts. Contact the vendor for a personalized quote.