Plain English In. Tested Software Out.
QPlay by Spritle turns plain English requirements or documents into test cases, executes them automatically, heals broken selectors, and delivers developer ready PDF reports. Zero code. Zero maintenance.
Spritle powers teams at
One platform. No test code. Ever.
QPlay is a no-code/low-code AI-powered test automation platform that converts requirements and test documents into automated Playwright test cases.
It handles execution, self-healing, screenshots, and reporting automatically, reducing manual effort by 80x90%.
Built on a secure multi-tenant SaaS architecture, QPlay delivers automation grade quality without the complexity for growing product companies.
THE SOLUTION PACKAGES
Three Power Packs. One Smarter Hospital.
- AI Engine Fast, accurate test generation from any input formatACTIVE
- Our Automation Code No test code exposed to the frontend, everACTIVE
- Self-Healing Selectors DOM context repair, zero manual interventionACTIVE
- Step Screenshots Visual proof at every execution stepACTIVE
- Multi-Tenant SaaS Full tenant isolation, real-time usage dashboardsACTIVE
Why Traditional QA Breaks Modern SDLC.
Manual Test Writing Takes Days
Writing test cases from requirements takes 2 to 3 days per sprint. Manual locator identification adds another 1 to 2 days before a single test script exists.
UI Changes Break Everything
One redesign or component library update can break hundreds of selectors, triggering 1 to 3 days of pure script repair work per release cycle.
20 to 30% Sprint on Maintenance
Automation engineers spend nearly a third of every sprint maintaining old test scripts rather than building new coverage or contributing to architecture.
Engineers Are Expensive & Scarce
A senior automation engineer costs ₹12 to 18L/yr. Most of that salary goes toward repetitive, boilerplate work that an AI can handle in seconds.
Bugs Escape to Production
One critical bug in production costs ₹5 to 25L in emergency engineering time, lost revenue, and reputation damage, often from gaps automated testing would have caught.
Testing Evidence Is Hard to Track
Test execution details, screenshots, approvals, and defect history are often scattered across tools and emails, making audits and customer reviews slow and time consuming.
Everything QA Teams Need. In One Platform.
AI Test Generation
Transform requirements into executable test cases automatically. QPlay generates test coverage, reducing manual effort and accelerating release readiness.
Self Healing Selectors
Keep automation resilient as applications evolve. QPlay automatically adapts to changes, minimizing maintenance overhead and maximizing test reliability.
Screenshot Evidence at Every Step
Every test execution captures visual screenshots at each step. QA, PM, and dev teams see exactly what happened with no ambiguity in failure reports.
Audit Ready PDF Reports
Generate audit ready reports with screenshots, test failures, selector details, and suggested fixes, giving teams complete visibility and traceability.
What clients actually get back.
95% Faster Time to First Test
From requirements to a running test suite in under 2 hours versus 8 to 14 days with conventional QA.
15 to 20x Annual ROI
Value from redirected engineer time, eliminated maintenance, faster releases, and prevented production bugs.
Under 3 Weeks Payback Period
Any company with even one automation engineer on payroll pays back the cost of QPlay in under three weeks.
From requirement to report in under 2 hours.
Input Requirements
Type in plain English or upload your test doc. No special format required.
AI Generates Tests
AI creates structured test cases with accurate locators in minutes.
Playwright Executes
Tests run on the backend via Playwright, scheduled or on-demand. No code exposed.
Self-Healing Runs
Broken selectors are detected and auto-repaired using DOM context. Zero human intervention.
PDF Report Delivered
Audit-ready reports with screenshots, failures, selector details, and fixes.
Built for product teams that ship fast.
Company Size (50 to 500 Employees)
Large enough to need structured QA, lean enough that dedicated automation teams aren't viable.
Industry (SaaS Fintech Healthtech Ecommerce Edtech)
Web-based product companies with React, Angular, or Vue frontends and Agile release cycles.
QA Team Profile (2 to 20 Engineers)
A mix of manual and automation testers already paying for Jira, Postman, and GitHub.
Core Pain Point (Slow Releases and Broken Scripts)
Teams spending 20 to 30% of sprints on test maintenance instead of new coverage or product work.
Global Presence
India USA Singapore
Internal Champion (QA Engineer or BA)
The person tired of maintaining broken scripts every sprint who wants to show leadership what AI powered QA looks like.
QAI is not just a tool. It's a mandate.
Every SDLC company needs the quality that QPlay delivers, but only the best-funded ones could previously afford it. Spritle built QPlay to change that equation.
Agile Demands Speed +
Frees Engineers for Real Work +
QA Beyond the Dev Team +
Compliance Ready From Day One +
Risk Management, Not Just QA +
Competitive Positioning
Frequently Asked Questions
📊Define Success Metrics
We agree on hours saved, scripts healed, and report time reduced upfront, the numbers you'll use in your case study.
🚀Start Small, Show Big
3 users is the perfect pilot size. Get your first test running from plain English in under 10 minutes. Show leadership what's possible.
📈Day 25 ROI Review
At day 25, we review the metrics together, show your team's ROI, and discuss annual commitment options.
🤝Onboarding Support
Dedicated setup support for the first 2 weeks. This is Spritle's moat at pilot stage, we don't just hand you software.