AI-powered iOS testing for teams that need speed and confidence
QlyApp helps QA teams and service vendors automate more of their iOS testing workflow, reduce repetitive manual effort, and move faster with more visible release confidence.
Why We Built QlyApp
For years, QA teams could grow by adding more people. That model is under pressure now. Development speed is increasing. Clients expect more coverage at lower cost.
We built QlyApp because the old model is no longer enough.
This is not about replacing QA teams. It is about giving them better leverage. The teams that adapt first will keep margin and stay relevant.
Igor Dorovskikh
Co-Founder & CEO
Backed by real delivery experience
Built by founders and supported by experienced delivery operators, QlyApp combines product focus with execution capability. This matters when moving from prototype to pilot and from pilot to repeatable delivery.
Powered by experienced delivery support from 3Alica
Mobile development got faster. QA pressure got worse.
Teams are shipping more builds, more experiments, and more UI changes than ever before. Manual QA alone does not scale with that pace.
The result is familiar: slower releases, repetitive work, regression risk, and pressure on both internal teams and external QA vendors.
QlyApp is built for this gap.
Slower releases
Manual testing creates bottlenecks
Repetitive work
Same tests run manually each cycle
Rising pressure
More builds, same team capacity
Where teams use QlyApp first
Real scenarios where QlyApp fits into existing QA workflows
Login and authentication flows
Core user flows break often and need frequent validation.
Faster creation and reuse of repeated validation workflows.
Better confidence around core app entry points.
Checkout and payment flows
Revenue-critical journeys need consistent testing before release.
More visible and repeatable execution around high-value flows.
Faster validation and lower risk before shipping.
Regression testing
Teams spend too much time repeating the same manual checks.
Turning repeated testing into reusable workflows.
Higher output with less repetitive manual effort.
Release validation
Teams need fast confidence before pushing builds forward.
Shorter path from scenario to visible execution result.
Faster release readiness and clearer QA visibility.
A practical workflow you can start using today
QlyApp helps teams move from test idea to visible result, faster
Define the scenario
Start with a user flow, regression path, or repeated test scenario.
Create the workflow
Use natural language to turn it into executable test logic.
Run and review
Execute against real builds. See visual proof of execution.
Improve and reuse
Refine workflows and expand to more flows over time.
See your test runs with visual clarity
QlyApp shows exactly what happened during each test run: screen captures, interaction logs, and clear pass/fail states.
- Step-by-step visual execution logs
- Clear pass/fail/running status
- Coverage tracking across flows
Login Flow - v2.4.1
Completed 2 min ago
Checkout Flow - v2.4.1
Completed 5 min ago
Profile Settings - v2.4.1
Running...
Built for how QA and product teams actually work
Natural-language test flows
Describe flows in plain language. Turn repeated QA steps into reusable test logic faster.
Visual interaction logic
Operate through the UI and user flows, not only brittle selectors or heavy custom setup.
Faster pilot-to-production
Start with a narrow, high-value scope. Prove value in real flows. Expand from there.
Built for the teams feeling the pressure first
For Product and QA Teams
Reduce time from test planning to visible product output.
- Faster regression coverage
- Less repetitive manual checking
- More confidence before release
This shift is already happening
AI is accelerating development. That means more product changes, more releases, and more pressure on testing teams.
The firms that move first will keep control of speed, economics, and client trust. The rest will get pushed into cost pressure.
- Development speed is increasing
- Clients expect more testing at lower cost
- AI is changing delivery economics
Market shift is accelerating. Early movers win.
Insights from the shift happening in QA
QlyApp is built around a real shift in how testing, delivery, and QA economics are changing. These short reads explain the thinking behind the product.
Why the QA services model is breaking in the AI era
The old model of scaling QA by adding more people is under pressure. Clients want lower cost, faster releases, and more automation. The firms that adapt first will keep margin and stay relevant.
The real bottleneck in iOS testing is not quality. It is time.
The biggest issue for many mobile teams is not whether testing exists. It is whether teams can turn testing into a fast, visible, repeatable workflow before release pressure wins.
From manual QA to AI-assisted workflows
The next generation of QA products will not win because they sound futuristic. They will win because they help real teams move faster with better operational leverage.
Igor Dorovskikh
Co-Founder & CEO20+ years in QA and software delivery
Most QA teams are not looking for more tools. They are looking for breathing room.
Tighter release cycles. More builds to validate. Same size team. The bottleneck is not skill. It is time.
AI can take the repetition. Not the judgment. Not the edge cases. Just the repetition.
That is the unlock. That is what gives a four-person QA team the coverage of eight.
Questions teams ask before starting
Built by operators who know the QA market
QlyApp is shaped by decades of hands-on QA experience and product execution
Igor Dorovskikh
Co-Founder & CEO
A veteran QA and delivery leader with 20+ years of experience in software quality, automation, and enterprise testing programs. Igor leads product-market direction, customer discovery, and go-to-market strategy.
- 20+ years in QA and delivery
- Enterprise partner network
- Drives GTM and partnerships
- Strong U.S. market access
Anthony Prokuda
Co-Founder & CTO
Leads technical architecture, product execution, and platform direction. Focused on turning the prototype into a scalable product.
- Product and technical roadmap
- Engineering execution
What happens next
The fastest way to evaluate QlyApp is not a big rollout. It is one real flow, one team, one concrete release problem.
Discovery call
We review your current QA workflow and identify a focused use case.
Pilot scoping
We define a narrow, high-value scope with clear success criteria.
Execution and review
Run the pilot, see results, and decide on next steps together.