Mona Model Monitoring for Reliable, Scalable Data-Driven Systems

What is Mona?

Mona offers a specialized Model Performance Insights Platform™ designed to assist data-oriented teams in managing, optimizing, and trusting their AI, machine learning, and various data-driven models. It primarily caters to high-stakes industries such as finance, defense, and technology, where model reliability and precision are paramount.

The platform focuses on enhancing AI systems through proactive monitoring. Key benefits include reducing risks associated with unforeseen model discrepancies, improving operational efficiency by streamlining model management, enabling rapid identification and resolution of issues to minimize negative business impact, and facilitating continuous improvement by leveraging performance insights to fine-tune models for better ROI.

Features

Inference & Training Data Discrepancy Monitoring: Ensure model stability by monitoring when and where discrepancies occur.
Segment-Specific Anomaly Detection: Automatically identify specific data subsets showing anomalous behaviors or underperformance.
Feature Correlation Drift Detection: Detect and address shifts in feature and output correlations over time.
Model Version Benchmarking: Pinpoint exact times when new model versions diverge for consistency.
Environment Behavior Comparison: Identify discrepancies between testing, staging, and production environments.
Regulatory Compliance Support: Test for bias and report on fairness to meet regulatory standards.
Flexible Metric Configuration: Utilize a built-in ETL pipeline to set and track custom performance metrics.
Root Cause Analysis: Receive auto-generated explanations pointing directly to issue causes for rapid investigation.