Quantify your AI risk with data-driven precision. Our aiExpress™ assessment uses your model's actual performance data to build a customized premium that reflects your true risk profile—not industry averages or guesswork.

The Process

Getting started is straightforward. We need to understand your AI's task type and evaluate its performance against real-world conditions:

• Define Your Task: Tell us whether your model performs Regression (predicting continuous values) or Classification (categorizing inputs into discrete classes).
• Provide Unseen Representative Data: Submit a holdout dataset that your model has never seen during training. This allows us to objectively measure performance against real-world conditions.
• Establish Ground Truth Metrics: Define the performance thresholds (accuracy, precision, recall, RMSE, etc.) that constitute acceptable model behavior.

Risk Metrics We Evaluate

Our underwriting team analyzes key indicators that predict long-term model reliability:

• Feature Drift: How sensitive is your model to changes in input data distribution over time?
• Performance Drift: What degradation patterns emerge as the model encounters new data?
• Error Distribution: Are failures random or concentrated in specific edge cases?
• Monitoring Capabilities: What systems do you have in place to detect and remediate issues?

The Outcome

Based on our assessment, you receive a customized premium model calculated from:

• Your total expected predictions per year
• Historical error rates from the holdout evaluation
• Risk mitigation measures you have in place
• The financial exposure per incorrect prediction

Ready to get started? Complete the intake form to begin your aiExpress™ assessment.