
Improve and explain your ML models
Monitor all your models in one place, spot performance degradation, detect drifting in data and models, and prevent your AI systems from failing.


Why you need an end-to-end observability platform
Focus on what's important
Leave the hustle of model monitoring behind and focus on building and deploying amazing AI systems.
Deliver trustworthy AI
Explain the “why” behind your model’s decisions, deploy with confidence and and gain your end-users trust.
Μonitor your model's performance
Monitor the performance of your model and get actionable insights on how to improve it.


Detect drifting in data and concept
Detect data drifting and model concept drifting and react before the problem affects production.
Monitor your models at the edge
Get alerts or trigger webhooks when something is off track.

How Whitebox works
Setup Whitebox in four easy steps and start collecting metrics for your models in hours.
Install SDK
Install SDK to your production ML model and start sending data.
Get metrics
ML model metrics are calculated in real-time and are visible in the dashboard.
Set up monitors
Set up monitors on specific metrics with thresholds.
Receive alerts
When a metric threshold is violated, you will receive an alert to help you debug the issue.
Plug-n-play e2e ML monitoring that adapts to your needs
Open source
Best for small teams, individuals and researchers.
Free
- Self-managed
- Community support
- Online documentation
- Basic integrations
- Source under Apache License 2.0
Professional
For teams who manage large traffic ML applications.
Contact us
- Support for Kubernetes
- Dedicated support
- Deep MLOps knowledge
- Custom integrations
- Ability to influence our roadmap

Keep the promise of AI
With Whitebox, we strive to help fulfil the promise of AI, by keeping AI systems from failing. Join us in this journey, to make AI trustworthy by making it explainable and observable.
Cloud edition coming soon