Testing Assistant is an AI-driven assistant designed to transform how software testing is planned, executed, and optimized. By combining artificial intelligence with automation, the solution reduces manual effort, accelerates testing cycles, and improves overall software quality. Testing Assistant supports teams across the entire Software Testing Life Cycle (STLC), enabling faster releases without compromising reliability.
Automated executive summaries with insights and mitigation recommendations
Natural language analysis explaining complex market trends
Predictive analytics using ARIMA, Prophet, and LSTM models
Real-time sentiment analysis of news and market reports
Commodity tracking: Brent Crude, Natural Gas, Silver, Copper, Steel, Aluminum, Nickel
Freight indices: Baltic Dry Index (BDI), Freightos Baltic Index (FBX)
Economic indicators: inflation rates, exchange rates, forecasts
Live updates every 5 minutes
Trade policy tracking including tariffs and import/export regulations
Conflict impact analysis (Middle East, Russia - Ukraine)
Regional policy changes and regulatory shifts
Early warning alerts for high-impact events
Automated questionnaire distribution with response tracking
AI-powered, objective scoring using weighted criteria
Automated analysis of financial statements and certifications
Intelligent shortlisting with risk-adjusted rankings
Custom visualizations and trend analysis
Role-based dashboards for analysts, managers, and procurement teams
One-click report export in multiple formats
Mobile-responsive access
Automates repetitive QA tasks, allowing testers to focus on analysis, edge cases, and quality improvement.
Shortens testing timelines and supports agile sprints and continuous delivery pipelines.
Improves test coverage and reduces human error through AI-driven insights and recommendations.
Minimizes rework, late defect detection, and post-release issues.
Designed with an intuitive interface and flexible deployment to support teams of any size.
Manages testing activities from requirement analysis through execution and reporting in one unified platform.
Support rapid development of web platforms with frequent UI and feature changes.
Automated test case generation from requirements and user stories
Fast regression testing before each release
AI-assisted maintenance for changing web interfaces
Ensure quality across devices, OS versions, and screen sizes.
Functional and regression testing for mobile apps
Smart test prioritization for critical user flows
Faster bug reproduction for device- or OS-specific issues
Maintain stability for complex systems with continuous updates.
End-to-end testing for business workflows
Test coverage analysis across features and integrations
CI/CD-integrated testing for continuous delivery
Validate system integrations and backend logic.
Automated API and integration testing
Risk-based test selection after code changes
Early defect detection in microservices architectures
Support testing during system upgrades and refactoring.
Identify obsolete or redundant test cases
Reduce regression risk during modernization
Improve long-term test maintainability