Model Monitoring for

Financial Services

 

From fair credit reporting to fraud detection, Mona delivers scalable monitoring

to help financial institutions optimize performance and meet regulatory demands.

 

The insights engine behind trustworthy AI

KEY FEATURES

 

Mona | AI Model Performance

Insights Platform

 

Mona’s monitoring solution has a unique built-in capability to pinpoint anomalous behaviors

in granular segments, bringing you actionable insights to ensure your models perform at their peak. 

Automatic Insights

 

Dive deep into your data with Mona’s ability to slice through multiple dimensions, isolating anomalies without noise.

Customizable Monitoring

 

Tailor your monitoring schema with bespoke metrics and dimensions, setting up comprehensive monitors for any scenario.

Scalable & Secure Solution

 

Engineered for the most demanding datasets, Mona offers both on-premises (+ air-gapped) and cloud deployments.

Real-time & Batch Processing

 

Stay ahead with instant anomaly detection and comprehensive historical analyses, ensuring no chance to optimize is missed.

MONA BENEFITS

Risk Management

 

Protect your organization from unforeseen model discrepancies and errors.

Enhanced Efficiency

 

Streamline your model monitoring process, freeing up valuable time for innovation.

Quick Resolution

 

Rapidly identify and rectify issues, reducing downtime and negative financial impact.

Continuous Improvement

 

Leverage detailed insights to fine-tune models, enhancing performance and profitability over time.

MONITORING BUSINESS USE CASES

 

Tailored Monitoring for Financial Institutions

 

Purpose-built to address the unique challenges of the financial sector, Mona provides specialized monitoring for critical use cases like fraud detection, regulatory compliance, and data integrity.

Regulatory Compliance

Ensure your models meet regulatory standards by monitoring performance and behavior over time.

Credit Risk Assessment

Detect and address shifts in feature correlations to maintain predictive power in credit scoring models.

Fraud Detection

Identify discrepancies in fraud detection models across different regions, transaction types, channels, media and more.

Market Behavior Analysis

Uncover and rectify unusual model behaviors in varying market conditions, ensuring reliability.

Deployment Operations

Ensure model stability across versions by aligning inference-time and training-time feature sets, Identifying discrepancies between staging and production environments, and more.

Inference & Training Data Discrepancies

Ensure model stability by monitoring and aligning inference-time and training-time feature sets.

 

Avoid Monitoring’s Number One Enemy: Noise

 

Alert fatigue is the leading cause of monitoring failures—but not for long. Mona’s Common Thread Analysis™ reduces both alert volume and the time needed for issue resolution, enabling smoother and more reliable model monitoring.

Model Operations Time Savings Calculator

This calculator is for informational purposes only and offers general estimates of potential time savings in MLOps processes. Results are hypothetical and not a substitute for professional advice. No guarantees are made regarding accuracy or completeness. Consult a qualified professional for specific guidance.

# of tickets per month

avg. time to address, investigate and

resolve an alert


		

Mona could save you as much as

hours / month

Monitor Your Entire AI Program

 

Gain full visibility and control across all your models –

from AI and ML to predictive analytics, financial models, and beyond.