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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.
Dive deep into your data with Mona’s ability to slice through multiple dimensions, isolating anomalies without noise.
Tailor your monitoring schema with bespoke metrics and dimensions, setting up comprehensive monitors for any scenario.
Engineered for the most demanding datasets, Mona offers both on-premises (+ air-gapped) and cloud deployments.
Stay ahead with instant anomaly detection and comprehensive historical analyses, ensuring no chance to optimize is missed.
Ensure the integrity of your data, crucial for reliable model inferences.
Streamline your model monitoring process, freeing up valuable time for innovation.
Rapidly identify and rectify issues, reducing downtime and negative financial impact.
Leverage detailed insights to fine-tune models, enhancing performance and profitability over time.
Empower your experts with deep, actionable insights into data and model anomalies across multidimensional datasets.
Identify discrepancies between staging and operational environments, enabling smooth transitions and deployments.
Pinpoint exact times when new model versions diverge, ensuring consistency and reliability.
Detect and address shifts in feature and output correlations over time, maintaining your model's predictive power.
Ensure model stability by monitoring and aligning inference-time and training-time feature sets.
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.
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.
hours / month