Agentic Performance Testing
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Build Applications That Perform Under Real Business Demand
Our AI Performance Testing Agent intelligently understands application requirements and transforms them into targeted performance tests. It identifies critical user flows, defines realistic load models, selects the appropriate test approach, executes and analyses results, and recommends improvements or re-testsMarket Cloud’s Agentic Performance Testing combines performance engineering, load testing and AI-assisted analysis to help organisations understand how applications behave under expected, peak and high-stress conditions.We identify performance bottlenecks, scalability risks and response-time issues before they affect users or critical business operations.
AI Performance Testing
AI-Powered Digital Experiences
Use AI to improve application responsiveness, reduce delays, and deliver smarter, faster experiences across critical user journeys
Greater Release Confidence
Understand system limits before deployment and reduce unexpected production performance issues.
Better Capacity Planning
Use performance data to support infrastructure, cloud and scaling decisions.
Improved Operational Resilience
Identify system performance using agentic AI assistance and understand how applications behave under sustained or extreme demand.
Know How Your Application Will Perform Before Demand Increases
Performance Test Approach
Understand Performance Objectives
We review application architecture, expected user volumes, critical transactions, service-level expectations and business demand.
Design Workload Models
We create realistic scenarios representing normal usage, peak demand and high-stress conditions.
Execute & Monitor
Performance and load tests are executed while key application, infrastructure and transaction metrics are monitored.
Analyse & Optimise
Results are analysed to identify bottlenecks, scalability risks and areas requiring technical optimisation or further investigation.
Technology Partners
Recent Projects
Our Latest Case Studies
Validated business-critical applications under peak transaction loads to identify scalability risks before release.
Identified bottlenecks through intelligent load and performance analysis.
