DevOps and continuous testing services for teams that want to release more often without more risk. PinnacleQM integrates automated testing and quality gates into your pipeline and builds team capability.
30+years of international
IT experience
Many teams invest in CI/CD tooling but still wait days for regression, or skip it altogether. Testing becomes the bottleneck, releases carry hidden risk, and production incidents undo the speed the pipeline promised. Speed without quality costs more.
PinnacleQM integrates automated tests, quality gates and reporting into your pipeline, and helps teams improve DevOps skills, tools and processes, so every build is checked and feedback arrives in minutes. Quality keeps pace with delivery.
DevOps succeeds when quality moves at pipeline speed. We make testing continuous, automated and visible to the whole team. Feedback arrives fast.
Weekly production releases through CI/CD.
Every build is tested automatically, so developers hear about problems in minutes. Fixes happen while code is still fresh in developers' minds.
Only changes that pass agreed checks progress towards production. Criteria are agreed and applied consistently.
Virtual testers run large regression packs in parallel within pipeline windows. Pipelines no longer wait days for regression.
Results collate in QMFactory for teams and leaders to see readiness. Everyone sees the same results.
Training and coaching build DevOps and quality skills in your teams. Skills stay after the engagement ends.
We improve practices, ownership and feedback loops, not just tooling. Tools support practice changes rather than replacing them.
From commit to production, testing that moves at the speed of delivery.
We integrate automated tests into your CI/CD pipeline, triggering the right tests at each stage and collating results centrally in QMFactory. Failures are reported straight back to the developers involved.
We define quality gates for each pipeline stage, covering functional results, coverage, performance baselines and security checks, and tune them so they protect quality without slowing the flow of work.
Enginuity's virtual testers run regression in parallel, so full packs fit within pipeline windows. When time is short, impact-based selection runs affected tests first and the full pack follows overnight.
We define environment promotion and test data strategies that keep pipelines supplied with stable environments and protected, realistic data, and detect environment drift early, before it causes false failures in the pipeline.
We improve change and release processes for DevOps, including version control for development and test assets, structured release governance and planned recovery, so releases become predictable, routine and rarely rolled back.
We provide DevOps introduction and practitioner training, then coach teams on integrating quality engineering into their own pipelines, so skills are applied to live work rather than left in the classroom.
We improve pipelines incrementally, proving value at each stage before moving on, so delivery keeps flowing while testing, gates and team capability mature.
Review pipeline, tools, tests, environments and team practices against goals. Bottlenecks are identified and ranked.
Connect automated tests and reporting into the pipeline stages. Results flow back to developers automatically.
Introduce quality gates and criteria, starting with the highest-risk stages. Criteria tighten as confidence grows.
Expand automation and parallel execution so full regression fits pipeline windows. Execution time shrinks as coverage grows.
Build team capability and refine practices through metrics and retrospectives. Deployment frequency and failure rates are tracked.
Enginuity as a service and a team of 12 replaced a 125-person offshore regression team across a Big 4 bank's end-to-end lending systems.
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When a core banking platform was upgraded, Enginuity's machine learning updated the automation in 2 hours and every script ran without test pack changes.
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A resources company runs SAP and SuccessFactors regression every month with no testers at the keyboard and $0 additional cost.
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Tools do not make releases faster by themselves. The practices, ownership and feedback loops that actually change cadence.
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A practical way to decide which regression tests to automate, which to keep manual, and how to measure the return.
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Many unreliable automated tests fail because of test data and environments, not scripts. How to diagnose and fix the real cause.
Tell us about your pipeline, tools and release frequency. We will show where continuous testing and quality gates can speed your releases safely, and which constraint to address first.
Mention your CI/CD tools, release frequency and main bottleneck.
