Quality Engineering — Live

Testing, re-engineered for speed, scale & certainty.

At 10decoders, testing is an engineering discipline woven through the product lifecycle — not the last gate before release. We pair AI-driven quality engineering with seasoned QA specialists to ship faster, catch defects earlier, and prove quality at every step.

0K+
Test cases executed
0%
End-user satisfaction
0+ yrs
Avg. QA experience
0+
QA clients served

Trusted by leading enterprises and healthcare teams

IBM Dedalus Harris Healthcare Humber River MerchantTrade Sojern SmartBiz Qodex
How We Test

Three layers. One quality path.

Traditional QA wasn't built for the pace of modern delivery. We plug into your repository, CI/CD, and product flow — then bring AI and human expertise together across every release for clean builds and measurable confidence.

01
Layer 01 — AI Augmentation

AI accelerates coverage

Generative AI scans every code and design change, then generates and maintains test cases at scale.

  • Scans code & design changes
  • Generates & maintains tests at scale
  • Identifies API/UI breakpoints & edge cases
02
Layer 02 — Expert Verification

QA engineers stress-test

Seasoned testers run exploratory and functional testing, covering the edge cases AI might miss.

  • Exploratory + functional testing
  • Covers edge cases AI might miss
  • Focus on UX, regression & performance
03
Layer 03 — Quality Engineering

Evidence & traceability

Risk-based prioritization, visual dashboards, and full traceability you can audit at any time.

  • Risk-based defect prioritization
  • Visual dashboards & defect heatmaps
  • Full coverage & traceability
QA Expertise

Full-spectrum testing capabilities.

Proven across UI, API, automation, and performance — backed by real execution volume and measurable outcomes.

UI Testing

Multi-browser and multi-device compatibility with behaviour-driven coverage across the user journey.

50K+ UI test cases50+ BDDCross-browser / device
3×Reduction in defects

API Testing

End-to-end validation of request/response, headers, and payloads to keep integrations reliable at scale.

5K+ APIs testedContract & payloadEnd-to-end flows
40%Faster test cycles

Robotic Process Automation

Automation workflows deployed across Finance, HR, and Customer Service to remove repetitive manual effort.

60+ RPA workflowsFinance · HR · CX
3×Improved application stability

Performance Testing

Load and scalability testing that proves resilience under real-world concurrency and peak demand.

1000+ scenariosBottleneck analysis
1M+Concurrent users triggered

XQuality Playbook & Blueprint

A centralized playbook that continuously monitors AI agent quality, detects hallucinations and drift, and ensures end-to-end traceability.

Hallucination detectionDrift monitoringTraceability

Agents for QA

Autonomous agents that execute test scenarios and validate AI behaviour end-to-end — extending the team where it counts.

Autonomous executionAI behaviour validation
AI-Powered QA Agents

Autonomous agents that drive quality & value.

Purpose-built QA agents that extend the team, automate the repetitive, and validate AI behaviour end-to-end.

QA Agent Catalogue
Design QA Agent

Compares Figma designs with live website pages to detect visual, layout, and consistency mismatches.

Catches design issues before users do
QA Automation Agent

Automates and streamlines Jira issue status transitions for design and QA teams — faster, consistent reviews.

Keeps workflows moving, no manual follow-ups
Performance Optimizing Agent

Evaluates system performance under load to identify bottlenecks and ensure reliability at scale.

Catches performance issues early
Regulatory 508 Compliance Agent

AI-powered accessibility evaluation validating against Section 508 and WCAG 2.0, 2.1 & 2.2 (Levels A, AA, AAA).

Inclusive, compliant experiences
Quality Engineering for AI

Testing the systems that test — and the AI you ship.

As products embed AI agents, quality has to cover behaviour, not just code. Our quality engineering practice keeps autonomous systems trustworthy.

Agents for QA

Autonomous agents that execute test scenarios and validate AI behaviour end-to-end.

AutonomousEnd-to-end
XQuality Playbook

A centralized playbook & blueprint to continuously monitor AI agent quality, detect hallucinations and drift, and ensure end-to-end traceability.

HallucinationDriftTraceability
QE for Agents

Continuously assess AI agent quality by detecting hallucinations and data drift while ensuring traceability — surfaced through risk-based dashboards.

Continuous QERisk-basedHeatmaps
Risk-based prioritizationHigh-impact issues first
Actionable recommendationsEvidence-backed insights
Visual dashboardsDefect heatmap & risk visibility
Coverage & traceabilityAudit-ready at any time
Impact

Deployed. Proven. Measured.

Representative engagements across regulated, high-volume domains. Results reflect delivered outcomes; client identities are confidential.

BFSI · AML & Sanction Screening

End-to-end QA for a compliance screening platform

Validated real-time transaction monitoring, advanced identity resolution, and noise-reduction logic to cut false positives while preserving data integrity, auditability, and regulatory readiness at high transaction volumes.

90%
Increase in automated test coverage
Reduction in false positives
Fintech · Digital Lending

QA for an AI-driven lending platform

Validated multi-stage loan lifecycle, AI-driven credit scoring accuracy, and critical third-party integration integrity — enabling reliable, same-day credit decisioning with secure, compliant workflows.

95%+
Automated test coverage
70%
Reduction in functional defects
QA Maturity Assessment

Diagnose gaps. Define strategy. Deliver at scale.

A structured assessment that sets the foundation for high-performing quality engineering — tailored to your goals and growth plans.

1

Identify process gaps

Spot inefficiencies in planning, execution, and reporting across the QA lifecycle.

2

Improve release confidence

Raise testing standards and reduce defect leakage across sprints and production.

3

Optimize QA investment

Align people, tools, and automation to reduce costs and improve delivery speed.

4

Enable scalable practices

Best practices that work for a 10-member team or a 100+ engineer QA org.

Ready-to-use frameworks

Every engagement comes with battle-tested templates.

QE Audit checklist Flaky test triage workflow CI gate checklist Weekly execution dashboard Sprint report Defect density Coverage Traceability

Start with a QA maturity assessment.

We'll show you exactly where your bottlenecks are — and what a faster, more reliable path to quality looks like.