Continuous Development: Post-Deployment
Evaluate production models over time
Detect novel security risks and identify anomalies with automated testing and alerting.

Detect anomalies and drift in your production data
Production models may face data issues and novel security risks over time. Our platform continuously validates models after models are deployed to identify anomalies and new vulnerabilities. The output of our tests answer both the what and the why of changing data, providing insight into the root cause of issues.


Automated root cause analysis
It’s critical to fix models quickly when issues arise during production, but it can be especially challenging to discover the underlying cause through all of the noise. Our platform automatically surfaces the specific issue and the associated data points that are to blame, thereby shortening the time to resolution.
Gain visibility into model behavior
When you have multiple models in production, maintaining oversight over their behavior can be a manual and time-consuming process. Robust Intelligence automatically tracks model performance across all of your production models so that you can focus on remediating issues that are surfaced.


Automatic thresholding and alerting
Data is inherently contextual and thus requires analysis to establish thresholds for production validity. Our continuous validation platform automates this thresholding process and generates alerts when such thresholds are crossed.
Monitor any model
Go beyond simple performance monitoring for your complex models. The RI platform provides native and rich monitoring of NLP, CV, and tabular models.
Integrate seamlessly
Deploy in a single line of code. Connect to your production AI framework, with hooks into your alerting and retraining pipeline of choice.
Automated
Spend less time fiddling around with monitoring dashboards and more time fixing the issue with automatic root cause analysis of model issues in production.
Track custom metrics
Define and track the metrics that matter for your business, in addition to the metrics that come ready out of the box.