Post-Deployment: AI Continuous Testing
Track production model behavior
Robust Intelligence's test-based approach provides monitoring and automated root cause analysis.
Detect anomalies and drift in your production data
Complications such as data drift, data anomalies and data errors will inevitably appear once a model is deployed to production. AI Continuous Testing answers both the what and the why of changing data. It not only detects issues as they happen but also provides insight into their root causes - shortening the time to resolution.
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Automated root cause analysis of model failures
Production data is noisy, and model performance can decline over time. Discovering the underlying driver of performance declines is a time-consuming process. AI Continuous Testing automatically surfaces the specific issue and the associated data points that are to blame.
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. AI Continuous Testing 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. AI Continuous Testing 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 ML 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.
"Robust Intelligence helps our data science teams standardize our pre and post-production ML testing practices, reducing time-to-production and the inherent risk associated with ML deployments. Expedia runs hundreds of models in production, developed by multiple teams, which serve hundreds of millions of predictions a day. Robust Intelligence enables our data science teams to continue building cutting edge AI models while minimizing failures."
"As the FDA continues to emphasize removing bias in ML models, the Robust Intelligence Platform is well-positioned to ensure that models in production are robust in a standardized, automated fashion while also being flexible enough to comply with rapidly evolving regulatory guidelines."
"Using the Robust Intelligence Platform, we were assisted in the quality control process (which previously was carried out manually) and proceeded with development more efficiently, robustly, and uniformly. The technical skills of the Robust Intelligence engineers are extraordinary."
“Robust Intelligence serves as a guidepost for us to instill machine learning integrity.”
“Tokio Marine Group utilizes AI across various business areas, from claims services, product recommendations to customer support. Despite the immense benefits of AI, the more we apply AI into our business, the severer the consequences of AI risks are. Robust Intelligence provides unique and unparalleled offerings to identify and address AI vulnerabilities that are otherwise very hard to recognize. We are committed to working with them and further accelerating our business collaboration.”
"Seven Bank leverages AI at the core of our ATM services and financial services, addressing societal needs and challenges from our customers’ perspective. Robust intelligence ensures the quality of such models, which are critical to AI utilization. By constantly guaranteeing the state of AI against changes in customer behavior, service needs, and other potential changes, RI enables us to take a big leap forward in applying AI to bring our services even closer to our customers."
