Baremetrics ◆
Baremetrics is subscription analytics for SaaS: track MRR, churn, LTV and 28+ metrics with data pulled directly from Stripe and other integrations.
Free·from $75/mo
About NannyML Cloud
What is NannyML Cloud?
NannyML Cloud is a machine learning monitoring platform designed for data science teams who need to track model performance after deployment. It solves the problem of monitoring models when ground truth labels are delayed or unavailable, by estimating performance using advanced algorithms. The platform helps teams avoid alert fatigue by focusing on performance-impacting drift rather than noise.
Who is it for?
NannyML Cloud is built for data scientists and ML engineers at companies that need reliable, 24/7 monitoring of production models. It is ideal for fraud detection, credit scoring, recommendation systems, and other use cases where real outcomes aren't immediately known. It is not suited for teams that require only simple accuracy tracking with full ground truth data.
Key capabilities
Features include performance estimation without labels, concept drift detection, multivariate drift detection, root cause analysis, and customizable cost-benefit metric tracking. The platform can be deployed in your own cloud environment (AWS, Azure) for security, or used as a SaaS solution. Pricing starts at a free open-source tier, with paid cloud plans from $99/month.
Key features
- Performance Estimation — Know model accuracy 24/7 even when ground truth is delayed or absent.
- Concept Drift Detection — Measure the impact of concept drift and trigger retraining at the right time.
- Business Impact Metrics — Tie model performance to monetary or business outcomes with a cost-benefit matrix.
- Meaningful Alerts — Avoid alert fatigue by focusing only on drift that degrades performance, not all data drift.
- Root Cause Analysis — Quickly find what broke using multivariate drift detection and granular investigation tools.
- Cloud Deployment — Deploy in your own AWS or Azure environment for safety, or use SaaS for simplicity.
- All Model Types — Monitor classification, regression, and other model types with no coding required.
SaaSpartout Score
7.5
/10
Editorial score from our review methodology — not user ratings.
NannyML Cloud Pricing
NannyML Cloud pricing: from $99/month.
Open Source
Free self-managed option. Includes core monitoring features but requires own infrastructure setup.
Starter — $99/month
SaaS plan for small teams. Includes 2 models, 10 million rows, 200 features, email support, 30-day free trial. Additional models $99 each.
Scale — $999/month
Deploy in your cloud. Includes 6 models, unlimited rows and features, private Slack support, 30-day free trial. Additional models $99.
Enterprise — Contact for pricing
Custom plan with unlimited models and predictions, 24/7 support, dedicated data scientist, all advanced features. 30-day free trial available.
Frequently asked questions
What is NannyML Cloud used for?
NannyML Cloud monitors ML model performance after deployment, estimating accuracy even when ground truth labels are delayed or missing. It detects concept drift and performance drops to help teams retrain models at the right time.
How much does NannyML Cloud cost?
NannyML Cloud offers a free open-source self-managed tier, a Starter plan at $99/month (SaaS, 2 models), a Scale plan at $999/month (deployed in your cloud, 6 models), and Enterprise custom pricing. All paid plans include a 30-day free trial.
Is there a free version of NannyML Cloud?
Yes. NannyML offers a free open-source version that you can self-manage. Paid cloud plans also start with a 30-day free trial.
What types of models does NannyML Cloud support?
NannyML Cloud supports all model types including classification and regression. It works with tabular data and can monitor streaming and batch data.
What are the top alternatives to NannyML Cloud?
Alternatives include Arize AI, WhyLabs, Evidently AI, and Neptune.ai. NannyML stands out by emphasizing performance estimation without ground truth and reducing alert fatigue.
Is NannyML Cloud secure?
Yes. The Scale and Enterprise plans deploy in your own cloud environment (AWS or Azure), keeping your data within your infrastructure. The SaaS Starter plan is hosted by NannyML.
