Technologies:
Our team of over 1,500 experts provides end-to-end Testing & QA support – from test automation with Selenium and Playwright, through performance testing and performance engineering with NeoLoad and JMeter, to testing AI-based systems. We also offer computerized system validation (CSV/GxP) in compliance with FDA 21 CFR Part 11 and ISO 13485, embedded systems testing, and application security testing aligned with the OWASP Top 10.
OUR OFFER
Test automation that shortens regression cycles and accelerates releases
Sii automates UI, API, and regression testing using an AI-supported approach to reduce manual testing, accelerate releases, and lower the risk of defects with every change:
- Risk-based test selection – regression scope is selected based on risk and the impact of changes
- Agent orchestration & human approval – agent recommendations are orchestrated automatically, while every recommendation is reviewed and approved by the client’s team and QA engineers
- Tests are integrated into CI/CD processes so they run with every change, accelerating software delivery
Performance testing that shows how applications handle peak traffic
Sii evaluates system performance before a launch, marketing campaign, or expected increase in user traffic:
- Load, stress, and spike testing assess system behavior under pressure and help determine its limits
- Tests are built using proven tools such as JMeter, Gatling, and k6
- Performance is monitored in real time, allowing slowdowns to be detected as they occur
- AI-assisted bottleneck detection pinpoints the source of performance issues faster than manual analysis
AI testing that reduces errors, risks, and inconsistent outputs
Sii tests AI systems across the entire lifecycle – from data quality to the AI platform itself:
- AI model accuracy is validated using real and synthetic data, assessing both performance and bias
- Model robustness is tested through edge cases and adversarial testing to uncover unexpected failure paths
- The entire AI process is covered by regression testing, making it possible to detect concept drift and quality degradation after changes
- AI agents are tested for decision-making, tool use, and behavior in multi-step scenarios
CSV and GxP validation aligned with regulatory requirements
Sii provides end-to-end computerized system validation (CSV) in line with GxP requirements and industry standards:
- Validation is performed in accordance with FDA 21 CFR Part 11, including requirements related to electronic signatures and data integrity
- Compliance with EU GMP Annex 11 and ISO 13485 for medical devices
- Full qualification testing – IQ, OQ, and PQ
- Every stage is fully documented, with complete protocols ready for inspection
QA optimization that reduces testing costs, defects, and quality risks
Sii assesses and optimizes QA processes to reduce testing costs and minimize defects:
- QA process audits identify the root causes of quality issues
- Test strategies are tailored to the product
- Testing recommendations are based on ISTQB best practices
- Quality KPI frameworks are implemented to measure outcomes and support data-driven decision-making
Enterprise testing platforms that increase automation, data security, and QA efficiency
Sii selects, implements, and integrates leading enterprise-grade testing platforms:
- Tricentis Tosca and qTest implementations for test automation and test management
- AI-native automation with mabl, including self-healing tests and anomaly detection
- Secure test data provided by Synthesized using synthetic data, without putting production data at risk
- Model-based testing enables test cases to be generated directly from a model of system behavior
Embedded system testing that reduces the risk of failures, defects, and non-compliance
Sii tests embedded software for critical systems in accordance with industry standards:
- Automotive testing aligned with ASPICE and ISO 26262
- Medical device software testing performed according to IEC 62304
- Railway systems tested for compliance with EN 50128
- Payment systems verified for reliability and security
Security testing identifies vulnerabilities before attackers do
Sii simulates real-world attacks and audits security controls to help ensure robust protection:
- Identification of vulnerabilities covered by the OWASP Top 10
- Penetration testing recreates real-world attacks against applications and networks
- Security code reviews identify vulnerabilities at the source
- Social engineering simulations assess organizational resilience
AI IN QA – HIGHER QUALITY AT EVERY STAGE
Sii expertise and AI combined throughout the testing lifecycle
INDUSTRY LEADERS TRUSTED US
TESting & QA case studies
REFERENCES
Discover the feedback from our clients and partners
meet our testing & QA team
More than 1,500 QA experts and test engineers support projects for clients across banking, life sciences, automotive, and retail. As a Tricentis Gold Partner and mabl partner, Sii combines deep industry expertise with modern software testing tools, helping organizations improve application quality, accelerate the delivery of changes, and reduce business risk.
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See how Sii experts used Tricentis Tosca to deliver an AI project for a healthcare client.
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Frequently asked questions about Testing & QA
The cost depends on the engagement model, testing scope, and team availability requirements. Project-based outsourcing is typically billed on a fixed-price basis for a defined scope or under a time-and-materials model, while a dedicated team is usually charged at a fixed monthly rate.
The starting point for an estimate is a scope analysis covering factors such as the number of applications, level of automation, regulatory requirements, and expected release frequency.
With staff augmentation, the client manages the testers’ work and remains responsible for the methodology and process.
With QA outsourcing, responsibility for the testing process, selection of methods, execution, and reporting shifts to Sii. The client receives outcomes and quality metrics rather than additional resources to manage.
The transition starts with an audit of the existing process and a transfer of product knowledge, followed by a period of parallel work with the current team. Only after this stage does Sii assume full responsibility.
The duration depends on system complexity and the state of the documentation, but it is typically measured in weeks rather than months.
Sii is responsible for the testing process, its execution in accordance with the agreed strategy, and accurate reporting on quality status.
The release decision remains with the client and is made based on the metrics provided. The division of responsibilities, scope, and service levels are defined in the contract.
Yes. Sii can act as an independent party verifying software quality before acceptance, performing acceptance testing and validating acceptance criteria.
This model was used, among others, in the Quality Control Center for ABB, which covered systems delivered by third-party vendors.
Yes. The team works within the client’s existing tools and processes, including Jira, ALM, selected automation platforms, and CI/CD pipelines.
If opportunities to improve the tools or process are identified during the engagement, recommendations are presented separately as part of the optimization work.
The first working regression tests are typically available within a few weeks of project start, while achieving full coverage of key business paths is usually a process measured in months.
The timeline depends on the number of applications, interface stability, availability of test environments, and access to test data. Sii starts with the framework architecture and the most resource-intensive areas of regression testing, so measurable benefits can be achieved before the entire implementation is complete.
Selenium and Playwright work well when the team has strong development skills and wants full control over the test code.
Tricentis Tosca and mabl are enterprise-grade platforms that reduce the amount of coding required and scale more effectively across organizations with multiple systems and teams with varying skill sets.
Sii selects tools based on the client’s infrastructure, budget, and team capabilities. In some cases, the recommendation may be to continue using the existing solution.
The starting point is the cost of the current regression process: the time required to execute it multiplied by the number of releases per year and the cost of the team involved.
Benefits include shorter release cycles, earlier defect detection, and a reduced risk of production failures.
In a project for a global booking platform, automation reduced regression testing from 3 weeks to 2 days and cut the number of test cases from 36,000 to 9,000.
Automated tests are integrated into existing pipelines so they can run with every build or at defined quality gates.
The test scope is selected based on risk and the extent of the changes, enabling the team to receive feedback within minutes rather than after an overnight test run.
Results are reported in the tools already used by the team, without requiring changes to the software development process.
Governance includes a clear distinction between decisions that can be made automatically and those that require human approval, logging of agent activity, controls over data access, and rules for handling sensitive information.
It is also important to define which test artifacts may be generated by AI and which require an engineer’s authorship – particularly in regulated environments.
The most common sources of savings include eliminating redundant test cases, selecting regression scope based on risk rather than running the entire suite, and moving some tests from the UI layer to the API layer.
In one project, optimizing the test suite reduced the number of test cases from 36,000 to 9,000 while shortening regression testing from 3 weeks to 2 days.
Self-healing mechanisms automatically adapt the way user interface elements are identified when minor changes occur, preventing tests from failing every time the application’s appearance is modified.
This reduces the maintenance effort associated with UI tests, which are particularly sensitive to interface changes.
However, self-healing does not eliminate the need for test reviews, as an interface change may also indicate an actual change in functionality.
Compliance means that both the testing scope and the way tests are planned, executed, and documented meet the requirements of the applicable industry standard.
In practice, this requires traceability between requirements, test cases, and evidence of execution, as well as documented acceptance criteria.
Sii guides clients through the entire process – from defining objectives to preparing formal documentation.
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