Automate your QA with an autonomous
AI agent
Generate tests directly from source code, automatically repair broken test cases, and expand coverage without proportionally increasing your team’s workload.
Traditional test automation
no longer scales
Automated test suites break when interfaces, data, or business logic change. As a result, teams spend more time fixing existing tests than expanding coverage. This leads to:
Turn QA into an autonomous,
scalable, and measurable capability
LuminQA is an AI agent that automates the full end-to-end QA lifecycle. It interprets source code, requirements, and business context to generate test cases, run regressions, and automatically repair tests that stop working. It does more than automate execution—it also automates how the test suite evolves.
Generate test cases directly from Git and Jira using the real context of the codebase, requirements, and business logic.
Analyze the root cause, understand the full flow, and rebuild the test case for a more stable and lasting repair.
Your team stays in control, integrates the code into existing pipelines, and avoids dependency on proprietary technology.
Run it as a SaaS solution or deploy it within your own infrastructure to meet security and compliance requirements.
A test breaks.
LuminQA takes action.
When a test case stops working, the agent follows a complete, verified repair process—without manual intervention.
Detects
Automatically identifies failures during regression testing.
Diagnoses
Determines whether the issue is in the flow, data, logic, or selectors.
Rebuilds
Recreates the full test case from the software context instead of applying a superficial patch.
Validates
Reruns the test and verifies that the repair works correctly.
Unlike solutions that only fix a broken selector, LuminQA understands the full code context and rebuilds the test case from the underlying business logic, delivering a durable repair without introducing new fragility.
LuminQA does not replace your QA team.
It amplifies it.
The agent handles repetitive generation, execution, and maintenance tasks, while your professionals focus on analysis, quality strategy, and business-critical scenarios. With LuminQA, you can support more development squads, expand coverage, and accelerate releases without proportionally increasing QA headcount.
Start based on your level of maturity
and your priorities
No two organizations start from the same place. That is why SMS Sudamérica defines a customized proposal based on your backlog, development volume, infrastructure, and quality goals.
Backlog automation
Generate automated test cases at scale to reduce pending testing backlogs or transform existing manual cases.
Backlog + continuous operation
Automate the initial backlog and continue operating the suite to keep coverage aligned with ongoing development.
Continuous operation
Continuously generate and maintain tests to support new sprints, features, and releases.
A new way to
ensure quality
The same quality goal, with a completely different way to generate, maintain, and scale coverage.
| Traditional QA | With LuminQA |
|---|---|
| Tests created and maintained manually | AI-agent-assisted test generation |
| Fragile selectors | Full-flow reconstruction |
| Constant maintenance | Autonomous self-healing |
| Coverage centered on the happy path | Combinations, variations, and edge cases |
| Scaling by adding more people | Greater capacity without linear headcount growth |
| Dependence on proprietary tools | Exportable Playwright code |
| Automates execution | Automates generation, execution, and evolution |
We help bring LuminQA into
your real-world operation
At SMS Sudamérica, we combine regional expertise in software development, quality assurance, and applied AI to support you with a practical assessment of your QA operation.
Tailored demo
See LuminQA in action through a scenario similar to your organization’s environment.
Initial assessment
We assess coverage, backlog, maintenance, flakiness, and current processes.
Pilot using real test cases
We define an initial scope to validate test generation, execution, and repair.
Tailored proposal
We design the service model around your volume, infrastructure, and quality goals.
Ready to transform your QA?
Share your details through the form. Our team will contact you to understand your QA operation, schedule a tailored demo, and assess how LuminQA can be applied across your organization.
Clear answers for a faster decision
Everything teams usually ask before bringing LuminQA into their QA operation.
What is LuminQA?
LuminQA is an autonomous AI agent that generates, executes, and repairs automated tests using the context of the codebase, requirements, and business logic.
Does LuminQA replace the QA team?
No. LuminQA automates repetitive and maintenance tasks so the team can focus on strategy, analysis, and continuous quality improvement.
How does it generate test cases?
It integrates with tools such as Git and Jira to analyze source code, requirements, and the application’s functional context.
What happens when a test breaks?
The agent identifies the failure, diagnoses the cause, rebuilds the flow, and automatically validates the repair.
Does it only fix selectors?
No. Its self-healing capability analyzes the full context of the test case and can rebuild the flow when data, logic, or application behavior changes.
Is the generated code exportable?
Yes. LuminQA generates standard Playwright code that can be integrated into existing pipelines and processes.
Can it be deployed within our infrastructure?
Yes. It can operate as a SaaS solution or be deployed on-premise to meet specific security and privacy requirements.
Can it help us reduce a testing backlog?
Yes. An initial automation initiative can be defined to generate test cases from the existing codebase and reduce the accumulated backlog.
How is the commercial proposal defined?
The proposal is customized. We assess testing volume, backlog, deployment model, expected coverage, and support requirements before defining the scope.
How can we get started?
The first step is a demo and an initial assessment to identify the processes and applications with the greatest automation potential.