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SYNTHETIC QUALITY ENGINEER
Redefine Quality Engineering with Agentic AI
Accelerate complex testing activities while improving compliance, accuracy, coverage, and speed
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OUTCOMES
Optimizing test coverage to minimize risks
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A digital twin for
Quality Engineers
Augments tasks from analysis to artefact generation, enabling full lifecycle automation and reducing manual effort & cycle time across the STLC.
AI-powered engineering
mindset
Orchestrates the STLC with agentic AI, using foundation models for better context, refinement, and local deployment.
Shift-Left quality
at scale
Accelerate your shift-left practices using digital models, automated agents, and a unified quality view across environments.
Accelerated time to production
20-30%
faster
Consistent quality
80 – 85%
accuracy
Increased test coverage
80 - 90%
coverage
Reduced cost
30-40%
effort savings
KEY CAPABILITIES
Where human precision meets AI power in quality engineering
End-to-end automation
Automates generation of test scenarios, test cases, and automation scripts from requirements, features, and acceptance criteria.
Built-in traceability and compliance
Traceability and auditability are native to every generated artefact, supporting healthcare-specific compliance requirements out of the box.
Seamless toolchain integration
Integrates into existing QA frameworks, IDEs, and GenAI code-assist solutions rather than requiring a new standalone environment.
Agentic AI loop for continuous validation
Specialized agents analyze inputs, generate outputs, critique results, and refine deliverables before presenting them to QA teams.
Scalable across environments
A scalable architecture supports diverse healthcare technology environments, from a single application to enterprise-wide QA programs.
SQE Starter Kit Portfolio
One digital assistant, four testing areas
SQE offers specialized starter kits tailored to different testing domains and QA roles.
Test Strategy & Plan Generation
Automates generation of Test Strategy and Test Plan documents from project initiation artefacts, using CitiusTech's standard templates.
Functional Testing
Automates the end-to-end process of test case generation, automation script generation, and requirement coverage validation.
Data Testing
Automates creation of data validation test cases, SQL queries, and data verification logic.
Performance Testing
Generates ready-to-use performance testing assets for JMeter, LoadRunner, and K6
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