Overview
Product video
NannyML Cloud is a web-based solution for monitoring machine learning models. It is based on the open-source NannyML python library.
With NannyML you can: monitor what matters, find what is broken and fix it. Everything, without ground truth.
Monitor what matters Focus on one single metric to know how your model is performing. And get alerted when the performance drops.
- Estimate model performance. Know the performance of your ML models 24/7. NannyML estimates the performance of your ML models. Even if the ground truth is delayed or absent.
- Measure the business impact of your models. Tie the performance of your model to monetary or business oriented outcomes. So that you always know what your ML brings to the table.
- Avoid alert fatigue. Traditional ML monitoring tend to overwhelm teams with many false alarms. By focusing on what matters NannyML alerts are always meaningful.
Find what is broken
- Root Cause Analysis. Our univariate drift detection methods allow to perform a granular investigation across the model's features.
- Uncover the most subtle changes in the data structure. Leverage multivariate drift detection method uncover changes that univariate approaches cannot detect.
- Intelligent alert ranking. NannyML links back data drift alerts to changes in the model performance. So you can easily detect which features are causing the performances issues.
Highlights
- Monitor what matters
- Find what is broken
- Open-source core
Details
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/month |
---|---|---|
Enterprise lic | Enterprise (10 models monitored) | $3,800.00 |
Scale license | Scale (6 models monitored) | $999.00 |
Starter license | Starter (2 models monitored) | $399.00 |
Extra models | Additional models monitored | $99.00 |
Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
NannyML Cloud AMI
"The NannyML Cloud deployment using AMI consists of:
- An EC2 scaling group hosting the application on a single node across 2 availability zones. This node runs the NannyML Cloud web application as well as the NannyML algorithms
- An EC2 instance running the database
- An elastic load balancer providing a secure connection to the application"
CloudFormation Template (CFT)
AWS CloudFormation templates are JSON or YAML-formatted text files that simplify provisioning and management on AWS. The templates describe the service or application architecture you want to deploy, and AWS CloudFormation uses those templates to provision and configure the required services (such as Amazon EC2 instances or Amazon RDS DB instances). The deployed application and associated resources are called a "stack."
Version release notes
First Release of AMI Trial
Additional details
Usage instructions
Access the application via a browser at the URL reported after deployment. To connect to the operating system, use SSH and the username ec2-user.
Resources
Vendor resources
Support
Vendor support
Please allow 24 hours support@nannyml.com support@nannyml.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.