Algo Analytiq — Corporate & AI Product Portfolio of Algo IQ Software Solutions Private Limited
AI-powered Automated Software Testing
AI-powered software testing solution designed to inspect mobile Android APKs and web applications across pre-login and post-login workflows, identify defects, and generate actionable developer reports.
Important: AI-generated fix suggestions should be reviewed and validated in a controlled test environment. Production changes must follow the customer’s approval and release process.
AI Parikshak supports automated exploration and testing of web applications and Android mobile APKs—before login, after login, and across complete user journeys—with AI-assisted analysis and developer reports.
Structured capabilities documented for production evaluation. Optional workflows and integrations are configured according to your project requirements.
Tests supported Android application packages (.apk).
Examines supported web application interfaces and workflows across modern browsers.
Tests public screens, navigation, and authentication entry points.
Tests authenticated workflows using authorized test accounts.
Checks configured workflows across multiple screens and actions.
Records detected defects and usability issues with reproduction details.
Provides developer-oriented recommendations for addressing detected issues.
Rechecks selected workflows after software changes.
Automated UI and end-to-end journey verification across web workflows.
Automated testing for supported Android application packages.
Inspects public pages, navigation links, and authentication entry screens.
Verifies authenticated multi-screen journeys using authorized test accounts.
Step-by-step operational flow from initial input to structured business outcome.
Provide the target web application URL or Android APK build.
Run pre-login, post-login, and end-to-end user journey inspections.
Detect functional defects, broken flows, and UI issues.
Compile structured test reports with step-by-step reproduction context.
Provide developer-oriented remediation suggestions.
Review and validate fixes inside a controlled test environment.
Execute regression checks to confirm issue resolution.
Designed around measurable operational clarity and workflow consistency rather than inflated promises. Actual outcomes depend on your team size, configuration, and adoption scope.
The scenarios below illustrate how teams apply this capability in practice. Specific configurations are tailored during onboarding.
Execute automated checks on web portals and Android APK builds after code updates to verify core user journeys before release.
Test both public screens (before login) and protected dashboards/transactions (after login) using authorized test accounts.
Deliver structured reproduction details and AI-assisted fix suggestions for developers to review and validate inside a controlled test environment.
Integrations and hosting topologies are configured according to your security policies and supported system APIs.
Supports automated functional and user-journey testing for supported Android APK builds.
Tests public and authenticated web application interfaces across supported modern browsers.
Available in cloud-hosted or private staging environments so unreleased builds remain under engineering control.
Cloud-hosted testing execution environment.
Controlled on-premise / private test environment deployment options.
Role-based access controls, approved knowledge boundaries, and deployment topology are reviewed with your IT and operations teams prior to rollout.
Verified answers aligned with our technical documentation and deployment guidelines.
Schedule a walkthrough with our specialists to review AI Parikshak workflows, integration requirements, and Cloud vs. Own-Server deployment options.
Cloud Hosting or Own-Server Deployment • English, Hindi & Gujarati Support • Backed by ~19 Years of Software Engineering Heritage