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Capability
Quality Engineering
Quality is how AI and product systems earn trust. We engineer tests, evals, and resilience checks into the pipeline — not as a final gate panic.
Summary
Test automation, AI-assisted QA, performance, and security testing baked into delivery.
Problem
What teams are stuck with
Manual regression cannot keep up with AI-driven product change.
Performance and security are discovered by users or attackers.
Offerings
What we deliver
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01
Test automation
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02
AI-assisted QA
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03
Performance and reliability
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04
Security testing
Approach
How we work it
Risk-based test strategy; automate the boring path.
Treat model evals as first-class quality signals.
Shift performance and security left with CI hooks.
Outcomes
What good looks like
- Fewer production regressions
- Faster safe releases
- Measurable AI quality over time
Sub-services
Inside Quality Engineering
- Test Automation Unit, API, and E2E automation that protects critical journeys.
- AI-Assisted QA LLM-assisted test generation, exploratory aids, and model evaluation for AI features.
- Performance & Reliability Load, soak, and resilience testing for APIs, apps, and AI inference paths.
- Security Testing Application security testing plus AI-specific abuse cases like prompt injection.
Related
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