Enginuity is PinnacleQM's no-code AI test automation platform for development and test teams. Anyone can write tests in natural language, and scalable virtual testers run them 24/7 across any technology.
30+years of international
IT experience
Coded automation needs specialist engineers, and every application change breaks scripts. Large libraries end up costing more to maintain than they save, regression still competes for execution time, and teams gradually lose faith in automation altogether.
Enginuity replaces coded scripts with reusable natural-language instructions. AI scans detect application changes and self-heal tests, virtual testers scale to run every required test on schedule, and results flow straight to dashboards and defect trackers.
Enginuity removes the coding barrier and the maintenance burden, so more people automate more tests at lower cost. Teams typically see results within weeks.
Self-healing automation with no script rework.
Testers, analysts and business users write and read tests, so many more people can contribute to automation.
AI scans detect application changes and relearn them, so upgrades no longer trigger weeks of script rework.
Execution scales from one virtual tester to very large numbers, so full regression fits overnight windows.
One test can cover web, mobile, API, mainframe, integration and database layers across a complete business process.
Enginuity runs over Selenium and converts most coded scripts, so existing investment in automation is protected.
Open APIs connect pipelines, device labs and ticketing tools, and results flow automatically to dashboards and trackers.
Capabilities that make automation faster to build, cheaper to run and easier to maintain.
Tests are built from reusable natural-language instructions and components, so non-technical team members can create, review and maintain automation, and everyone can see exactly what is covered and why, including business users.
An initial machine-learning process, handled by PinnacleQM's team, teaches Enginuity each application. AI scans then detect later changes and relearn them, so tests self-heal and maintenance effort falls sharply over time.
Virtual testers run tests on schedule or on demand, 24/7, with results, errors and evidence reported for every run, so nobody needs to watch tests execute and full regression fits overnight.
One test can span web, mobile, mainframe, API, message and database layers. Because tests are decoupled from specific technologies, they follow a business process across systems and survive upgrades and change.
Enginuity acts as a no-code framework over Selenium and, with PinnacleQM's technical team, converts most common coded scripts into natural language that is easier to read, share and maintain for the whole team.
Open APIs connect Enginuity to CI/CD pipelines, QMFactory, device labs, code coverage and ticketing tools, so results and defects appear automatically wherever your teams already look and work every day.
Adoption starts with one application and a proof of value against agreed criteria, then scales in waves as results are confirmed and teams gain confidence.
Plain language.PinnacleQM runs the one-off machine-learning process for each application in scope, with no effort from your team.
Create or convert tests as natural-language components designed for reuse across tests.
Compare results with current automation or manual testing against criteria agreed beforehand.
Add applications, virtual testers and pipeline integration in waves that build on proven results.
Maintain with self-healing, train your teams and track savings and coverage in quarterly reviews.
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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Tell us about your applications and current automation. We will show Enginuity working on a representative workflow of your own, and what it could save in effort, maintenance and cycle time.
List your key applications and current automation tools.
