Our earliest capture with readable facts. This is our first observation, not when the company introduced these things. These website claims are not independently verified.
How it described itself
Join the beta
Open Source Library for post deployment data science
All facts above belong to this capture. Unlisted fields mean we have no readable observation, not that they were absent.
How it describes itself
Similar headlines are grouped together. The quote shown is from the last capture in each group, not necessarily the exact wording throughout that period.
February 2024 – November 2026 · 6 captures · latest observed messagingWhere data science teams monitor their models
Where data science teams monitor their models. Meet the standard for post-deployment data science. The power of NannyML Open Source without the infrastructure hassle.
27 February 2024 · A better way to monitor ML modelsarchived page
13 July 2024 · Where data science teams monitor their modelsarchived page
19 January 2025 · Where data science teams monitor their modelsarchived page
15 February 2026 · Where data science teams monitor their modelsarchived page
27 July 2026 · Where data science teams monitor their modelsarchived page
6 November 2026 · Where data science teams monitor their modelscurrent websiteHistorical capture not publicly available
July 2022 – January 2023 · 2 capturesDetect silent model failure with our Open Source python library
Open Source Library for post deployment data science; estimating model performance, drift detection, model monitoring and other production-ready machine learning needs.