Infogain’s Digital Assurance and Testing services enable digital transformation through high-fidelity digital systems and accelerated delivery. Our services are focused on ensuring seamless and frictionless customer experiences across channels, platforms, and devices.
Test your entire value chain
Our rich portfolio of service offerings provide coverage across your digital value chain and platforms to enable automation for omni-channel testing, end-to-end testing, container environment testing, cloud assurance testing, cyber security testing, and test automation using bots and AI.
Omni-Channel Assurance
Infogain omni-channel offerings enable you to build test suites for digital applications across multiple interfaces:
Web testing
Mobile testing
Wearables testing
Public API testing
IoT testing
Test hyperautomation
End-to-End (E2E) Testing
Functional and nonfunctional testing provides end-to-end coverage of:
Usability
Accessibility
Data Validation (Configuration, Profiles, Geo, Settings)
Compatibility (OS, model hardware, features, screen size, resolution)
Localization
Security
Usage telemetry
Performance
Container Environment Testing
Test suites for apps that use containers to test capacity and capture the following:
Business resilience
Service virtualization (for infrastructure scalability)
Checks and quality gates for cloud resource utilization and cost optimization
Cloud Assurance Testing
Our end-to-end testing supports migration and modernization with:
Functional and nonfunctional workload validation (re-hosting)
Functional testing of apps (re-platform and refactor) and cloud native apps (rewrite)
Data & database migration
App performance, scalability, and security
Cyber Security Testing
Vulnerability and penetration of infrastructure, apps, and devices:
Coordination and response for threats and malware
Mitigation implementation and recommended policy changes
Forensic/engineering investigations for prevention, analysis, counterintelligence, and malware reverse engineering
AI Enabled Automation
Our PAQman framework uses AI/ ML to build:
Models to test negative scenarios
NLP algorithms to generate test cases
Algorithms for self-healing test scripts
App/web/server log parsers find failure pattens and increase non-functional test coverage
Intelligent bots monitor & gather telemetry to improve user experience
