WhyLabs
Fortune 100 companies to AI-first startups use WhyLabs to monitor ML models, LLMs, and data pipelines to surface drift, data quality issues, and bias.
WhyLabs is the leading observability platform trusted by high-performing teams to help maintain the quality and performance of ML models, LLMs, and data pipelines.
Recognized by CB Insights as one of the top 50 most innovative Generative AI start-ups and top 100 most innovative AI companies in the world, WhyLabs is committed to driving innovation and advancing the field of AI.
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Out of the Box Integrations
Detect, prevent, and mitigate risk in your ML models, LLMs, and data pipelines.
WhyLabs is an AI observability platform that prevents data quality or model performance degradation by allowing you to monitor your data pipelines and ML models in production.
If you deploy an ML model but don’t have visibility into its performance, you risk doing damage to your business due to model degradation resulting from things like data/concept drift, data corruption, schema changes and more. In many cases, data issues do not throw hard errors and can go undetected in data pipelines at a great cost to your business. With WhyLabs, you can prevent this performance degradation by monitoring your model/dataset with a platform that’s easy to use, privacy preserving, and cost efficient.
Offers and Services
WhyLabs AI Observability SaaS Platform
WhyLabs Observatory platform prevents data quality or model performance degradation by allowing you to monitor your data pipelines and ML models in production.
Whylogs: the open standard for data logging
Whylogs is the open-source standard for profiling data. Whylogs automatically creates statistical summaries of datasets, called profiles, which imitate the logs produced by other software applications.
LangKit for safeguarding LLMs
LangKit is built on Whylogs and is designed for language models. LangKit provides out-of the box telemetry from the prompts and responses of LLM to help you track critical metrics about quality, relevance, sentiment, and security.
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