AI for testing is no longer optional, it is critical
AI has accelerated the pace of development and complexity of applications. Testim has AI at its core to help you.
Accelerate application development
Move faster and make testing easier with generative AI. Create test automatically from a natural language description with Agentic Test Automation.
Stabilize tests and reduce maintenance
Identify elements across all your web, and Salesforce applications with customized AI and ML smart locators. Through a wide range of algorithms, tests keep working when applications change.
Connect your entire process for continuous quality improvement
Iterate across interconnected test automation, test management, and test optimization. With AI at each stage, gain more insights, faster test creation, and greater visibility into where you need testing most.
Testim: AI throughout for accelerated testing
Test stability and reduced maintenance
• AI and ML locators make it easier to create tests and keep tests working when apps change
• Customized locators built for all of your web, mobile, and Salesforce applications
• Salesforce metadata locators are optimized for dynamic Lightning elements and reduce the risk of Salesforce releases
Automatic grouping for reusable modules
• Identify common, repeated sequences of steps that can be reused across tests
• Save the time of creating and maintaining duplicate tests
• Create a reusable library of best practices
Agentic Test Automation test creation using natural language
• Create best-practice, complete tests using through prompts
• Leverage custom agents that collaborate to produce working tests without intervention
Get the answers you need, fast
• Find answers using Testim’s AI-powered Help Assistant
• Locate documents, implement best practices, and automate testing more easily and quickly
Create custom code automatically from natural language using generative AI
• Customize tests faster and with less effort
• Empower less-technical testers to ensure quality of complex applications
• Reduce coding errors and scale best practices