10decodersShip software
with absolute certainty.
We plug engineering-led QA directly into your delivery flow. We write the tests, manage the infrastructure, and automate the pipelines — so you release code faster with zero production drama.
Trusted by leading enterprises and healthcare teams
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.
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
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
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
Live in your pipeline in days, not quarters.
No rip-and-replace. We connect to what you already run and start returning signal from the first sprint.
Connect
We plug into your repo, CI/CD, and design tools — read-only, secure, no workflow change.
Gate
Quality gates wire into your build so every merge is checked before it ships.
Run
AI generates coverage; QA engineers stress-test the edge cases that matter.
Report
Risk-based dashboards and audit-ready traceability, updated every release.
Works alongside your existing stack — Git, Jira, Jenkins, GitHub Actions, and the frameworks your team already uses.
Legacy QA can't keep up. Our model was built for the pace.
Manual, end-of-cycle testing bottlenecks release. AI-led quality engineering moves with your delivery.
| Traditional QA | 10decoders Quality Engineering |
|---|---|
| Testing starts after code is “done” | Coverage generated as code and designs change |
| Manual test writing that lags every sprint | AI writes and maintains tests at scale |
| Coverage gaps discovered in production | Edge cases caught by expert testers pre-release |
| Status buried in spreadsheets | Visual dashboards and defect heatmaps |
| “Trust us, it’s tested” | Full coverage and traceability, audit-ready |
Measured results, not promises.
Representative outcomes across regulated, high-volume engagements.
Put a QA agent to work on your next release.
See an agent in action →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.
API Testing
End-to-end validation of request/response, headers, and payloads to keep integrations reliable at scale.
Robotic Process Automation
Automation workflows deployed across Finance, HR, and Customer Service to remove repetitive manual effort.
Performance Testing
Load and scalability testing that proves resilience under real-world concurrency and peak demand.
XQuality Playbook & Blueprint
A centralized playbook that continuously monitors AI agent quality, detects hallucinations and drift, and ensures end-to-end traceability.
Agents for QA
Autonomous agents that execute test scenarios and validate AI behaviour end-to-end — extending the team where it counts.
Autonomous agents that drive quality & value.
Purpose-built QA agents that extend the team, automate the repetitive, and validate AI behaviour end-to-end.
Design QA Agent
Compares Figma designs with live website pages to detect visual, layout, and consistency mismatches.
QA Automation Agent
Automates and streamlines Jira issue status transitions for design and QA teams — faster, consistent reviews.
Performance Optimizing Agent
Evaluates system performance under load to identify bottlenecks and ensure reliability at scale.
Regulatory 508 Compliance Agent
AI-powered accessibility evaluation validating against Section 508 and WCAG 2.0, 2.1 & 2.2 (Levels A, AA, AAA).
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.
Autonomous agents that execute test scenarios and validate AI behaviour end-to-end.
A centralized playbook & blueprint to continuously monitor AI agent quality, detect hallucinations and drift, and ensure end-to-end traceability.
Continuously assess AI agent quality by detecting hallucinations and data drift while ensuring traceability — surfaced through risk-based dashboards.
Deployed. Proven. Measured.
Representative engagements across regulated, high-volume domains. Results reflect delivered outcomes; client identities are confidential.
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.
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.
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.
Identify process gaps
Spot inefficiencies in planning, execution, and reporting across the QA lifecycle.
Improve release confidence
Raise testing standards and reduce defect leakage across sprints and production.
Optimize QA investment
Align people, tools, and automation to reduce costs and improve delivery speed.
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.
Quality Engineering, answered.
Common questions about test advisory, test automation, Testing Centers of Excellence, and QA services.
