Monitoring for Quant Models

Revolutionize Your Quant Models with Granular Monitoring

Mona provides a continuous production feedback loop for quant researchers. 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. 

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Key Features

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:

Engineered for the most demanding datasets, our platform ensures your data's integrity, offering both on-premises (and air-gapped) and cloud deployments.

Real-Time & Batch Processing:

Stay ahead with instant anomaly detection and comprehensive historical analyses, ensuring no opportunity for optimization is missed.



Risk Reduction:

Protect your investments from unforeseen model discrepancies and errors.

Enhanced Efficiency:

Streamline your research process, freeing up valuable time for innovation and strategy refinement.

Quick Resolution:

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

Continuous Improvement:

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

Use Cases

Time-Specific Model Deviations

Pinpoint exact times when new model versions diverge, ensuring consistency and reliability.

Feature Correlation Drifts

Detect and address shifts in feature correlations over time, maintaining your model's predictive power.

Environment Behavior Comparisons

Identify discrepancies between staging and production environments, enabling smooth transitions and deployments.

Region-Specific Anomalies

Uncover and rectify unusual model behaviors across different exchanges or regions, safeguarding your assets.

Inference & Training Data Discrepancies

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


Join the ranks of enterprise customers in finance, aerospace/defense, manufacturing, and top AI companies, using Mona to demonstrate significant improvements in model accuracy, efficiency, and risk management.

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