LLM Evaluation, Observability and Quality

WhyLabs

ML and LLM observability with strong open-source roots (whylogs, langkit).

About WhyLabs

WhyLabs provides observability for traditional ML and LLM applications. The whylogs open-source library is widely used for data profiling. LangKit adds LLM-specific signals (toxicity, sentiment, hallucination cues).

Test, monitor, and grade LLM outputs in development and production. Hallucination detection, regression testing, traceability, and continuous quality measurement.

Products

WhyLabs products and platform components

Direct links to the vendor's product pages. Last reviewed 2026-05-07.

WhyLabs Platform

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ML and LLM observability with model monitoring.

LangKit (open source)

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Open-source LLM observability toolkit. Apache 2.0.

CWS engagement

How CWS works with WhyLabs

CWS helps customers evaluate, deploy, and operate WhyLabs products as part of an AI security program. Engagements span vendor selection, proof-of-concept design, integration with existing controls, day-2 operations, and exit planning if the fit changes over time.

CWS does not resell WhyLabs. The recommendation is honest, evidence-based, and tied to the customer's posture gaps — not to channel economics.

Engage CWS on WhyLabs

Not sure if WhyLabs fits your gaps?

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