Intelligent Monitoring for Computer Vision AI

Mona automatically detects any issues that arise within your computer vision AI systems, providing data science teams actionable insights into exactly where the models are underperforming. Monitor the performance of your computer vision models to instantly detect data drift for your image classification and object detection models.

Key Benefits

External environment changes can easily impact your computer vision models, causing data drift and anomalies to occur. Here’s how Mona’s intelligent monitoring platform can help.

Reduce and Mitigate Risks
Instantly detect any misclassification within your images and videos, ensuring issues get addressed and resolved promptly
Extend Your Research Capabilities
Improve your research capabilities by learning how your vision based AI models actually perform in the real world compared to the training dataset
Optimize Your Computer Vision Models
Automatically surface underperformance issues to retrain your image classification and object detection models, saving manual work hours spent troubleshooting issues

Comprehensive Monitoring Capabilities Made for Computer Vision AI

Intelligence That’s Critical for CV Model Monitoring

Immediately detect any issues such as data drifts, biases, out of distribution detection and other anomalies with your computer vision models, providing confidence that your image classifications and video analysis are accurate.

Complete Flexibility for CV Observability

Mona can easily track custom metrics and out of the box metrics for computer vision systems including classifier confidences, output distribution and correlation with manual labeling, and RoI dimensions.

Exhaustive Automatic Segmentation

Monitor any of your specific vision-based AI use cases including image classification, object detection and recognition, video motion analysis and OCR. Easily detect issues even when those occur only for specific camera models, image quality classes, file formats and others.

What Our Customers Are Saying

“Mona can be customized using a simple configuration which represents the agility of the system when compared to the other POC. We were impressed by the level of commitment, the level of the professionality and the maturity of the technology, which were the most important things that we needed.”

Yuval Ben Zion, Director of Data Science at Fiverr

“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.”

Roye Wietzfeld, Head of Digital R&D at Israeli Ministry of Defense

“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 continues grow, we can ensure that if any of our bots misbehaves, we’d be the first to notice and fix, before customers are affected.”

Nitzan Bar, Chief Architect at Hyro

“K Health is improving healthcare by connecting data points from millions of medical records to help doctors quickly diagnose and treat what’s wrong. Mona makes sure we’re aware of any changes or trends in our data, and keeps our AI running smoothly.”

Tom Haramaty, Algorithms Team Lead at K Health

“As'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.”

Igal Mazor, Chief Data Scientist at

“With Mona, we are able to proactively identify issues in production before our customers are negatively impacted.”

Ohad Parush, EVP of R&D at

See How Mona Can Monitor Your Computer Vision AI