Leading Intelligent ML Monitoring Solution

 

Mona's monitoring platform offers a comprehensive solution for gaining real-time visibility into the performance and behavior of your AI system to improve the accuracy and reliability of ML models. Utilizing advanced techniques such as model interpretability and performance metrics tracking, our platform detects issues early, enabling you to proactively address them before they negatively impact your business. Address fairness concerns, model drifts and other anomalies that results in increased efficiency and better business results.  

  • Automatic segmentation to instantly detect anomalies (drifts, biases, data integrity issues, outliers & more) 

  • Ultimate flexibility to create custom metrics for each of your AI use cases within one dashboard

  • Customizable for any vertical and easily integrates into any existing tech stacks

  • Conduct A/B tests to extend research into production

  • Smart noise reduction to avoid alert fatigue





 

See how Mona empowers data scientists, machine learning engineers, and data operations by requesting a demo.

Actively Used by Leading Innovators

 

Recognized by Gartner in the 2021 'Cool Vendors in Enterprise AI Operationalization and Engineering' report

Key Benefits

AI monitoring can significantly increase efficiency and maximize productivity. Here's how we can help.

Deep, proactive intelligence
Get real-time alerts with intelligent insights on an unforeseen data drift, concept drift, or underperforming models, enabling your data science team to quickly resolve issues.
Reduce and mitigate risks
Detect and resolve model performance issues with your AI applications early, preventing them from impacting business KPIs.
Extend research into production
Improve your model performance by identifying and eliminating blind spots. Quickly pinpoint areas of underperformance during testing or in production, allowing you to make data-driven decisions.

Eliminate Biases with AI Fairness

Mona provides a comprehensive overview of all your AI-driven applications, automatically surfacing hidden biases and other anomalous behaviors within your ML models. With full user configuration options, easily generate custom fairness reports that meet industry standards and regulations.

ML Monitoring is the Key to Improving AI Performance

Transform your AI initiatives from lab experiments into scalable business operations by truly understanding how your models behave in real business processes and applications. Learning how your models perform in production is critical to continuously improve your AI-driven processes. 

ML Monitoring Issues Insights (1)

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