We build quality in from the first story — shifting testing left, automating relentlessly, and measuring what ships. Fewer escaped defects, faster releases, and quality you can prove.
Quality Engineering builds quality in from the first story — shifting testing left, automating relentlessly, and measuring what matters. The research shows why it pays.
A defect missed early gets far costlier to fix downstream. Finding and fixing bugs is the single largest expense in the software lifecycle.
Teams ship faster every year. Without automated, continuous quality, higher velocity just ships defects to production faster.
Coverage, defect leakage, and escaped-defect trends turn “quality” from opinion into numbers leaders can manage and improve.
Eight capability areas spanning functional, non-functional, data, and quality-intelligence testing — delivered as reusable, automation-first engineering.
UI, API, web, mobile, desktop & mainframe automation.
Load, scalability, endurance & performance tuning.
VAPT, SAST / DAST, OWASP Top 10 & CWE Top 25.
WCAG, Section 508 / ADA & visual regression.
ETL, migration, pipelines & data quality.
Contract testing & PLDC-managed API frameworks.
Planning, traceability & coverage analysis.
Dashboards, defect-leakage & coverage trends.
Certified engineers fluent in the leading open-source and commercial testing tools — automation-first, CI/CD-integrated, and matched to your context.
A disciplined engineering approach to quality — built for speed, accuracy, and breadth, not manual testing bolted on at the end.
Test automation is a priority, not a nice-to-have. Reusable frameworks and CI/CD integration deliver quality at speed.
Unit (~70%) over API & integration (~20%) over UI (~10%): fast feedback, low flakiness, and automation owned across teams.
Quality embeds from story grooming and design — early risk identification and defect prevention, not late detection.
LLM-based scenario generation, self-healing tests, and intelligent coverage and defect analysis built into the workflow.
Career testers with engineering depth — a decoupled QA function, tightly aligned on product goals.
Dashboards and quality metrics make coverage, defect leakage, and stability visible and actionable.
Battle-tested QE accelerators we bring to every engagement — so teams start from a running framework, not a blank page.
LLM-based test-case generation from user stories, Swagger, and the live DOM — producing ready-to-run automation suites. Web & API.
A locator-healing engine that detects and updates broken selectors at runtime, keeping regression suites green through UI change.
Metadata-driven, plug-and-play data-quality checks across ingestion, transformation, storage, and reporting.
Reusable API automation with PLDC management, health-check APIs, and bulk operations for high-volume validation.
Automated SAST / DAST / VAPT with secret-management and a CI/CD plug-in, mapped to OWASP Top 10 and CWE Top 25.
Quantified application and automation stability scores with variance filtering and visual, release-over-release reporting.
Each pillar expands a part of the lifecycle into concrete capabilities we stand up and run alongside your teams.
We baseline the metrics that turn quality from opinion into evidence on day one, then move them — and set targets with you, not from a generic benchmark.
Defects that escape to production vs. caught earlier.
Share of regression executed automatically.
Requirements and code exercised by tests.
Stability and reliability of the automation suite.
We track these from a day-one baseline; targets are set per engagement rather than against a one-size-fits-all benchmark.
Most teams sit at level 1 or 2. Our engagements move you up the curve — and defect leakage, coverage, and stability move with you.
Quality is where AI and security meet the product. We bring AI into testing across the holistic product lifecycle (PLDC), validate the AI features you ship, and build security testing into every gate.
GenAI test generation and self-healing automation cut authoring and maintenance. Selenium anchors web automation; Qualgent brings AI-driven mobile-app testing.
We test the AI you ship — LLM and model features — with evaluation harnesses, guardrail checks, and reliability and bias testing.
Automated security testing (SAST / DAST) runs inside the pipeline, shifting security left across the PLDC rather than bolting it on at the end.
Accessibility, data-validation, and security gates make quality evidence auditable — compliance proven continuously, not at release.
Quality-engineering engagements across healthcare, capital markets, finance, and platforms. Outcomes shown; client names withheld.
Outcomes are drawn from delivered engagements by NovasIQ teams and advisors across companies and have been anonymized.
A four-step engagement that spans all four NovasIQ pillars: consulting, AI & digital, systems design, and managed services.
Quality audit, risk-based test strategy, coverage and defect-leakage baseline, and a tool-stack review.
Assess · ConsultingAutomation architecture, BDD standards, test-data and environment design, and a prioritised roadmap.
Design · AI & DigitalWe build reusable frameworks and accelerators, wire tests into CI/CD, and shift quality left without disruption.
Build · Systems DesignEmbedded SDETs, quality dashboards, and continuous regression that keep defect leakage down and coverage climbing.
Run · Managed ServicesWe operate as an extension of your team — not a vendor at arm's length. Every engagement is built around your outcomes.
All four pillars under one engagement. No vendor-coordination overhead between strategy, build, and run.
Mid-market firms work in 6–12 month cycles. We deliver in weeks — audit to automation in the pipeline.
GenAI test generation, self-healing, and quality intelligence built in — not retrofitted onto manual testing.
You stay in the driver's seat. We bring the expertise and execution to move your quality metrics.
We move from a quality audit to automation in the pipeline in weeks, not quarters. Bring us your hardest quality problem.