AI observability and evaluation platform for ML models, LLM apps, and agents
SOC 2HIPAAGDPROpen-source
WhyLabs
Privacy-preserving AI observability via open-source whylogs and LangKit (acquired by Apple)
What WhyLabs does
WhyLabs was a Seattle-based AI observability company, spun out of the Allen Institute for AI in 2019 and backed by investors including the AI Fund, Madrona, and Jeff Bezos, that built a platform for monitoring the health of data pipelines and machine learning and generative-AI models. Its approach centered on privacy-preserving telemetry: the open-source whylogs library generates lightweight statistical "profiles" of data rather than shipping raw records, enabling drift, data-quality, and model-performance monitoring at scale without exposing sensitive information. The company later added LangKit for large language model monitoring and security, plus an AI Control Center spanning predictive and generative use cases. WhyLabs was acquired by Apple in a low-profile deal dated January 2025; its founding team, led by CEO Alessya Visnjic, joined Apple, and the commercial WhyLabs service was wound down. Before closing, the team open-sourced its platform so the community could continue AI-observability research. As of mid-2026 WhyLabs is no longer an independent, commercially operating vendor - its lasting footprint is the open-source whylogs and LangKit projects rather than a supported product.
Key capabilities
- whylogs data profiling (privacy-preserving telemetry)
- Data drift and data-quality monitoring
- Model performance monitoring
- LangKit LLM monitoring and security
- Automated anomaly alerting
Best for
Teams seeking free, open-source, privacy-preserving ML and data monitoring via whylogs and LangKit, rather than a supported commercial product.
Limitations
No longer an independent commercial vendor - acquired by Apple in 2025 and operations discontinued; only the open-source projects remain, with no vendor support, SLAs, or active product roadmap.
Framework coverage
WhyLabs does not publish explicit mappings to the major AI governance frameworks. That is common for tools in the observability & monitoring category, where the value is technical rather than documentary — but it means you will be responsible for evidencing how it satisfies your obligations.
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