Intelligent Monitoring Solution for NLU / NLP & Chatbots

Mona’s intelligent monitoring solution provides proactive insights for data teams into their NLP / NLU models or chatbots, automatically detecting performance issues even if they occur only for a specific text source, customer or business segment. By having complete visibility into your NLP / NLU models, teams are provided with confidence that their models are performing the way they should be.

Key Benefits

Learning how your NLP / NLU models or chatbots perform in production is critical to ensure your business and customers will not be negatively impacted. Here’s how a production-grade monitoring platform can help.

Reduce and Mitigate Risks
Automatically get alerts on any anomalies and data drifts with your NLP / NLU models or chatbots, reducing risks to your business and your customers.
Extend Your Research Capabilities
Understand your NLP / NLU model blindspots to truly know how they perform in production.
Optimizes Models for Consistency
Through A/B testing and version benchmarking, optimize your NLP / NLU models to make sure they are operating properly.

Comprehensive Monitoring Capabilities

Deep, Proactive Insights

Whether your system is based on a knowledge graph, a ML model or other algorithms, Mona instantly detects anomalies within your data and processes. By learning why your NLP / NLU models are failing, data science and engineering teams are able to quickly address the issues.

Custom Metrics for Any Use Case

Track and get alerted on a variety of algorithmic KPIs such as confidence scores and output class distributions, correlations with user responses and more. Mona enables the simple creation and tracking of custom metrics, while also providing expansive, configurable anomaly detection to monitor for your team’s unique data quality and model accuracy needs.

Exhaustive Automatic Segmentation

Mona cuts through the noise by automatically analyzing thousands of potential anomalies to find the “needle in the haystack”, pointing your team directly to the underperforming subsegment of the data.

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

“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 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.”

Igal Mazor, Chief Data Scientist at Exceed.ai

“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

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

Ohad Parush, EVP of R&D at Gong.io

Ready to See Mona in Action?