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Mona's Model Performance Insights Platform™️ powers proactive monitoring
for AI, ML, and other data-driven systems in high-stakes environments.
The insights engine behind trustworthy AI
Mona equips data-oriented teams in high-stakes industries like finance, defense, and technology with insights to manage, optimize, and trust their AI, ML, and other data-driven models.
Protect your AI investment from unforeseen model discrepancies and errors.
Streamline model operations, freeing up time for research and innovation.
Rapidly identify and rectify issues, reducing negative business impact.
Leverage insights to fine-tune models, boosting performance and ROI.
Designed for models with the highest levels of risk, scale, and complexity,
Mona empowers teams to maintain control and precision of their data models and systems.
Ensure model stability by monitoring when and where discrepancies occur and the consequences of the occurrence.
Automatically identify specific data subsets that show anomalous behaviors or underperformance, without generating noise
Detect and address shifts in feature and output correlations over time, maintaining your model's predictive power.
Pinpoint exact times when new model versions diverge, ensuring consistency and reliability.
Identify discrepancies between testing, staging, and production environments, enabling smooth transitions and deployments.
Ensure your models meet regulatory standards by testing for bias and reporting on fairness.
Gain full visibility and control across all your models –
from AI and ML to predictive analytics, financial models, and beyond.
Before Mona |
After Mona |
Data science teams spend valuable time on reactive troubleshooting, struggling to maintain model accuracy and address performance issues that disrupt workflow. |
With Mona’s proactive monitoring and smart alerting, data science teams can shift focus to refining accuracy and driving innovation, free from constant interruptions. |
Before Mona |
After Mona |
Data operations teams face deployment bottlenecks, inconsistent model performance, and constant pressure to minimize downtime and maintain uptime. |
Mona’s centralized monitoring platform reduces downtime, prevents disruptions, and ensures reliable model performance at any scale, enabling smooth, consistent operations. |
Before Mona |
After Mona |
Business intelligence teams may struggle to demonstrate ROI, align data initiatives with business objectives, and access transparent metrics to show impact. |
Mona provides transparent metrics and detailed insights that make it easy to track model impact, aligning data initiatives with strategic goals and demonstrating measurable ROI. |
Before Mona |
After Mona |
Product and innovation teams battle to balance rapid product development with the need for scalable and reliable model performance, delaying time to market. |
With Mona’s scalable monitoring, innovation leaders achieve dependable AI and ML performance, accelerating time to market and ensuring a strong product-market fit. |
Before Mona |
After Mona |
Data governance and compliance teams face difficulties meeting regulatory standards and ensuring data integrity, often risking costly compliance issues. |
Mona’s comprehensive tracking, audit trails, and compliance-friendly reporting provide data transparency and help meet regulatory standards, minimizing compliance risks. |
Before Mona |
After Mona |
Lacks real-time monitoring for quant models, increasing risk of overlooked anomalies that could impact financial returns or compliance. |
Mona provides proactive monitoring and detailed insights, giving financial modelers confidence in their models’ performance and helping to avoid costly oversights. |
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
Alert fatigue can quickly derail monitoring, but Mona’s Common Thread Analysis™ changes that. With fewer alerts and quicker resolutions, you get a more manageable and consistent monitoring experience.
From integration to optimization, Mona provides the insights you need to ensure your models perform reliably and scale effectively.
Leverage several convenient export options to collect and aggregate data from all parts of your environment. SaaS and self-hosted options are offered.
Identify unusual patterns within specific segments of your data, such as drifts, biases, sudden changes, outliers, distribution changes, and rule-based validations.
Use Mona’s built-in ETL pipeline to set and track both out-of-the-box and custom performance metrics specific to your unique monitoring use cases(s).
Root cause analysis points you directly to the “culprit” with auto-generated explanations, facilitating rapid investigation and issue resolution.
“Mona is already helping us get dramatically more comfortable with our AI deployments. We performed a thorough market evaluation, and Mona has unique capabilities which made it the best fit for our needs.”
“With Mona, we are able to proactively identify issues in production before our customers are negatively impacted.”
“As Exceed.ai's business continuously grows, our AI models are required to work seamlessly with a growing number of use-cases and customers. Mona is enabling our growth by assuring that our AI works as planned for all of our use-cases, and alerting us the moment our AI fails or underperforms.”
“At Hyro, we strive to always deliver the best value to our customers. Using Mona, even as our customer base and variety of use-cases continue to grow, we can ensure that if any of our bots misbehaves, we’d be the first to notice and fix, before customers are affected.”