NannyML
Summary
NannyML monitors deployed machine-learning models and estimates their performance when ground-truth labels are delayed or unavailable. It detects concept drift and both multivariate and univariate data drift, then links alerts to changes in model performance. Data-quality checks and ranked drift alerts can help teams investigate which features may be associated with performance issues. Users can relate model performance to monetary or other business outcomes. NannyML Cloud provides webhooks for retraining actions and an SDK for automating monitoring-data ingestion, and is available through Azure and AWS marketplaces as SaaS or a managed application. In the managed-application option, the application and infrastructure are provisioned in the customer's cloud subscription. The Azure managed-application documentation describes encrypted traffic and disks, but automated backups were still being implemented; customers are advised to protect model inputs and outputs elsewhere. The open-source library installs with pip or conda. Direct local uploads through the Cloud UI require files smaller than 100 MB. The free Open Source plan is self-managed; listed paid plans start at 399.00 USD per month, while the pricing note says paid from $99/mo.
Who it is for
NannyML suits teams that need to monitor deployed models when ground truth is delayed or absent, and connect model performance with business outcomes. It can also suit teams looking for self-managed open-source installation or Cloud deployment.
What is good
- Estimates performance without immediate ground-truth labels.
- Detects concept, multivariate, and univariate drift.
- Links drift alerts to performance changes.
- Supports webhook-triggered retraining actions.
- Open-source library installs with pip or conda.
What to know first
- Cloud UI local uploads must be smaller than 100 MB.
- Azure managed-application automated backups were still being implemented.
- Starter plan lists a two-model limit.
- Starter plan costs 399.00 USD per month.
Verdict
NannyML combines drift monitoring, performance estimation, and data-quality checks for deployed models. Check the plan limits and Azure backup caveat against your deployment needs.
NannyML plans and pricing
All plansCompared on model monitoring software
- Free plan
- Yesnannyml.com
- Paid from
- $99/monannyml.com
- Drift monitoring
- Yesnannyml.com
- Model performance metrics
- Yesnannyml.com
- Data quality checks
- Yesnannyml.com
- Alert channels
- email, Slack, webhooknannyml.com
- Included model limit
- 2 modelsnannyml.com
Facts
- Purpose
- NannyML monitors deployed machine-learning models and estimates model performance even when ground truth is delayed or absent.nannyml.com · 29 Sept 2026
- Business impact
- NannyML lets users tie model performance to monetary or business-oriented outcomes.nannyml.com · 29 Sept 2026
- Root cause
- Its monitoring workflow includes data-quality checks and ranks drift alerts to help identify features associated with performance issues.nannyml.com · 29 Sept 2026
- Automation
- NannyML Cloud supports webhooks to trigger retraining actions and an SDK to automate monitoring data ingestion.nannyml.com · 29 Sept 2026
- Cloud marketplaces
- NannyML Cloud is available through the Azure and AWS marketplaces, with SaaS and managed-application deployment options.docs.nannyml.com · 29 Sept 2026
- Data locality
- For the managed-application deployment, NannyML says the application and required infrastructure are provisioned within the customer's Azure or AWS subscription.docs.nannyml.com · 29 Sept 2026
- Security
- For its Azure managed application, NannyML documents TLS-encrypted traffic, Azure-managed disks encrypted by default, and support-team access only after customer approval.docs.nannyml.com · 29 Sept 2026
- Security limitation
- NannyML's Azure managed-application engineering page says automated backups were still being implemented and advises customers to safeguard model inputs and outputs elsewhere.docs.nannyml.com · 29 Sept 2026
- Support
- The pricing page lists email support for Starter, private Slack for Scale, and 24/7 support for Enterprise.nannyml.com · 29 Sept 2026
- Input limits
- The Cloud UI accepts direct local dataset uploads only when the file is smaller than 100 MB.docs.nannyml.com · 29 Sept 2026
- Open-source install
- The open-source library can be installed with pip or conda.nannyml.com · 29 Sept 2026
- Company mission
- NannyML describes its work as building a post-deployment data-science toolkit for monitoring what matters after model deployment.nannyml.com · 29 Sept 2026
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Sources
- nannyml.com· checked 29 Sept 2026
- docs.nannyml.com/cloud· checked 29 Sept 2026
- docs.nannyml.com/cloud/miscellaneous/engineering· checked 29 Sept 2026
- nannyml.com/pricing· checked 29 Sept 2026
- docs.nannyml.com/cloud/product-tour/adding-a-model· checked 29 Sept 2026
- nannyml.com/library· checked 29 Sept 2026
- nannyml.com/about· checked 29 Sept 2026