AI Monitoring for Advanced Manufacturers

Uncover the unseen, optimize performance, and drive results.

Mona provides a continuous feedback loop for your engineers and data scientists. Our monitoring solution has a unique built-in capability to pinpoint anomalous behaviors in granular segments, bringing you actionable insights to ensure your AI systems 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 solution 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.



Catastrophe Avoidance:

Protect your system from unforeseen major production issues.

Enhanced Efficiency:

Streamline your development process, freeing up valuable time for innovation.

Quick Resolution:

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

Continuous Improvement:

Leverage detailed insights to fine-tune systems, enhancing performance and reliability over time.

Use Cases

Time-Specific System Deviations

Pinpoint exact times when new system 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 system behaviors across different operational theaters, safeguarding your assets.

Inference & Training Data Discrepancies

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


Join the ranks of leading aerospace and defense organizations, using Mona to demonstrate significant improvements in system quality, efficiency, and risk management.

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