Deep AI Monitoring

for Reliable, Scalable

Data-Driven Systems

 

Mona's Model Performance Insights Platform™ powers proactive monitoring

for AI, ML, and other data-driven systems in high-stakes environments.

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The insights engine behind trustworthy AI

KEY BENEFITS

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Mona | A Model Performance

Insights Platform™

 

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. 

Risk Reduction

 

Protect your AI investment from unforeseen model discrepancies and errors.

Enhanced Efficiency

 

Streamline model operations, freeing up time for research and innovation.

Quick Resolution

 

Rapidly identify and rectify issues, reducing negative business impact.

Continuous Improvement

 

Leverage insights to fine-tune models, boosting performance and ROI.

Abstract image of Mona's model monitoring platform dashboard which shows model drift with root cause analysis and related symptoms to the anomalous behavior

MONITORING USE CASES

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Specialized Monitoring for

High-Stakes Industries

 

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.

Inference & Training Data Discrepancies

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Ensure model stability by monitoring when and where discrepancies occur and the consequences of the occurrence.

Segment-Specific Anomalies

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Automatically identify specific data subsets that show anomalous behaviors or underperformance without generating noise.

Feature Correlation Drifts

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Detect and address shifts in feature and output correlations over time, maintaining your model's predictive power.

Model

Version

Benchmarking

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Pinpoint exact times when new model versions diverge, ensuring consistency and reliability.

Environment Behavior Comparisons

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Identify discrepancies between testing, staging, and production environments, enabling smooth transitions and deployments.

Regulatory Compliance Support

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Ensure your models meet regulatory standards by testing for bias and reporting on fairness.

Monitor Your Entire AI Program

 

Gain full visibility and control across all your models –

from AI and ML to predictive analytics, financial models, and beyond.

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TEAMS MONA SUPPORTS

Transforming Workflows Across

Data-Oriented Teams

 

 

Before Mona

Teams reactively troubleshoot model issues, losing valuable time.

Frequent workflow disruptions from performance problems.

Maintaining accuracy feels reactive, not strategic.

 

After Mona

Proactive monitoring catches issues early, reducing disruptions.

Teams focus on refining accuracy and driving innovation.

Smoother workflows and faster model improvements.

 

Before Mona

Deployment bottlenecks slow down operations.

Inconsistent model performance creates risk and pressure.

Teams constantly fight to minimize downtime and maintain uptime.

 

After Mona

Centralized monitoring reduces downtime and prevents disruptions.

  Reliable model performance at any scale.

Smooth, consistent operations with less firefighting.

 

Before Mona

Difficulty demonstrating ROI from data initiatives.

Challenges aligning models with business objectives.

Lack of transparent metrics to track and prove impact.

 

After Mona

Transparent metrics and insights show clear model impact.

Data initiatives align seamlessly with strategic goals.

Measurable ROI easily demonstrated to stakeholders.

 

Before Mona

Balancing rapid development with reliable model performance is a struggle.

Scalability issues delay product launches.

Time to market is slowed by performance uncertainties.

 

After Mona

Scalable monitoring ensures dependable AI and ML performance.

Innovation teams accelerate time to market.

Products launch faster with stronger product-market fit.

 

Before Mona

Difficulty meeting regulatory standards and ensuring data integrity.

Limited visibility increases risk of costly compliance issues.

Governance teams struggle with fragmented tracking and reporting.

 

After Mona

Comprehensive tracking and audit trails enable full data transparency.

Compliance-friendly reporting simplifies meeting regulatory standards.

Compliance risks are minimized with proactive monitoring.

 

Before Mona

No real-time monitoring for quant models increases risk.

Overlooked anomalies threaten financial returns and compliance.

Lack of visibility creates uncertainty in model performance.

 

After Mona

Proactive monitoring detects anomalies before they cause impact.

Detailed insights give financial modelers full confidence in performance.

Costly oversights are avoided with continuous, real-time visibility.

Model Operations Time Savings Calculator

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.

# of tickets per month

avg. time to address, investigate and

resolve an alert


		

	

	

		
Mona could save you as much as 

		
		

			
  hours / month

		

		
		
        
	

	
	
























Avoid Monitoring’s #1 Enemy: Noise


 


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.


 


 




Talk to an Expert


































HOW MONA WORKS






























Continuous Model Observability


for Consistent Performance


 


From integration to optimization, Mona provides the insights you need to ensure your models perform reliably and scale effectively.


 


















Getting Started

































  

    

      

        

          
01


 


Connect Your Models and Data Sources →

        

        
          
        
      

      

        

          
Leverage several convenient export options to collect and aggregate data from all parts of your environment. SaaS and self-hosted options are offered.

        

        
      

    

  

































  

    

      

        

          
03


 


Monitor and Track Model Performance →

        

        
          
        
      

      

        

          
Identify unusual patterns within specific segments of your data, such as drifts, biases, sudden changes, outliers, distribution changes, and rule-based validations.

        

        
      

    

  






































  

    

      

        

          
02


 


Flexibly Configure Performance Metrics →

        

        
          
        
      

      

        

          
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).

        

        
      

    

  

































  

    

      

        

          
04


 


Analyze Performance and Take Action →

        

        
          
        
      

      

        

          
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.”
                      

                      

                        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
                      

                    

                  
 
                
                  

                      

                        
                      

                        “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 
                      

                    

                  
 
                
                  

                      

                        
                      

                        “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.”
                      

                      

                        Nitzan Bar, Chief Architect at Hyro
                      

                    

                  
 
                 
              

            

          

        

      

    


























    






    





































  

      

         

            
Mona Labs, Inc., Computer Software, Atlanta, GA


          

      

  


























  

      

         

            


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