AI-Powered Testing
EUROPE AND MIDDLE EAST LEADING SPECIALIST IN AI-POWERED TESTING
Reliable AI-Powered Testing from Start to Release.
QESTIT delivers AI-Powered Testing and risk-based testing with Linear Q™ to improve requirements and business impact. With LinQRAG™ and 25 years of expertise, we integrate into your tools to speed releases and ensure audit-ready compliance.
Contact Us
%
Usable Test Cases (vs ~60% from generic AI)
%
Time Savings in Test Case Creation
/80
Linear Q™ focuses effort on the ~20% of functions where ~80% of defects occur
Our AI-Powered Testing Services
Methodology-led, expert-driven, audit-ready, from assessment to managed operation.
Flagship managed service combining the LinQRAG™ expertise layer with Linear Q™ risk-based testing.
-
LinQRAG™ encodes 25 years of QA knowledge from 100+ enterprise projects
-
Requirements reviewed against INVEST and ISO 29148 before any test cases are written, defects born in the requirements phase are caught at the cheapest point
-
Results delivered via QAIC® into Jira, Xray, Tosca, Selenium, SAP, Azure DevOps and more, supporting automated regression testing, CI/CD test integration, and continuous testing
-
Managed operation: QESTIT runs AI quality assurance as an ongoing service inside your environment
-
Outcome-based delivery: priced on measurable QA outcomes, not effort
-
Air-gapped/on-premise deployment and BYOAI (OpenAI, Anthropic, Mistral, or your own model) are available.
Strategic AI-test consulting for organisations defining or refining AI adoption in QA.
- Design of an AI test strategy and governance frameworks for AI test management
- Bespoke AI QA frameworks, domain-specific AI model testing, custom RAG implementations, test case automation engines
- Embedded consultant experience in insurance, banking, financial services, and public sector
- Deep domain expertise from 100+ enterprise QA engagements
Upskilling programmes for QA, test, and product teams via the QESTIT AI-Training Academy.
- AI-Assisted testing workshops and Linear Q™ methodology training
- Tool-specific enablement: intelligent test automation and AI-powered test automation
- Generative AI-testing and AI-workflow testing modules
- Aimed at building durable internal capability
A structured workshop to identify and prioritise AI use cases in Quality Engineering.
- Defines a roadmap aligned to your automation testing strategy and QA maturity
- Entry point to the full QESTIT journey: Assess → Train → Solve → Operate
- One trusted partner, no fragmented vendor landscape
The Strategic Shift-Left Advantage
Quality moved upstream, focused where risk is highest, faster releases without losing audit-readiness.
-
Shift-Left: AI requirements analysis (INVEST, ISO 29148) catches gaps before the first test case.
-
Risk-based: Linear Q™ targets the ~20% of functions driving ~80% of defects.
-
Continuous feedback: QAIC® delivers results into Jira, Xray, Tosca, Selenium, SAP, and Azure DevOps.
-
Data-driven: every AI result traceable to requirement, risk, and method, with humans owning the final call.
~90%
Usable Test Cases (vs ~60% from Generic AI)
~85%
Time Savings in Test Case Creation
Scope & Coverage
The QE domains, industries, and compliance frameworks we operate within.
Frequently Asked Questions
Everything you need to know about methodology-led AI quality assurance
QESTIT AI quality assurance is methodology-led and expertise-driven. Our focus is on the highest business impact: we identify the quality risks that matter most, then direct AI effort exactly there. LinQRAG™ encodes 25 years of Quality Engineering expertise, proven process models, and best practices directly into the AI, and Linear Q™, our risk-based testing methodology, ensures every generated test case is prioritised by real business damage potential, not by volume. The difference is not the AI model itself, but the QE expertise and methodology layered on top, which is why our output reaches ~90% usable test cases versus the ~60% typical of generic AI.
QESTIT is AI-agnostic. With our Bring Your Own AI (BYOAI) approach you choose the model that fits your organisation, OpenAI, Anthropic, Mistral, Google, or your own on-premise / open-source model. EU-hosted LLMs available on request, and customer data is never used to train third-party models. AI-driven quality assurance is delivered as a Managed Service that runs inside your environment and integrates with your existing toolchain. Air-gapped and on-premise deployment are available for maximum data sovereignty, critical for defence, government, and high-security clients. Your data, your AI, your governance, fully under your control.
Results are delivered directly into your existing tools through QAIC® (QESTIT AI Connector), Jira, Xray, Confluence, Tosca, Selenium, SAP, Azure DevOps, and others. Our toolchain expertise also covers LLM Integration & Orchestration for organisations building their own AI workflows. No parallel tool silos, no media breaks, no manual copy-paste between platforms. Supports CI/CD test integration and continuous testing workflows out of the box.
Yes, aligned from day one. Our workflows are designed for transparency and traceability, helping customers developing or operating high-risk AI systems meet their QA, testing, and traceability obligations under the EU AI Act. We use EU-hosted LLMs by default, with support for customer-selected AI models where required, and GDPR-compliant data handling is the default. Our security-by-design approach supports NIS2 compliance. Practices are aligned with the EU Cyber Resilience Act (CRA), supporting customers in meeting their obligations for software security and vulnerability management of secure digital products. QESTIT is ISO 27001 certified.
Every AI-generated result is fully traceable: which requirement, which risk weight, which methodology step. Human experts review, adjust, and approve every output-the final decision always stays with your team. You decide exactly where and how human oversight is applied, creating a complete audit trail for compliance, regulators, and internal governance. This level of transparency is the core foundation of our software QA solutions.
We offer flexible delivery models: from project-based AI test consulting engagements through to long-term managed operation, where QESTIT runs AI quality assurance as an ongoing service inside your environment. An AI Potential Assessment is typically the starting point, a structured workshop to identify where AI adds the most value in your specific QA context. From there, the QESTIT journey scales: Assess → Train → Solve → Operate, all from one trusted partner with no fragmented vendor landscape.
Ready to Transform Your QA?
From AI hype to AI that delivers. Methodology-led, expert-driven, audit-ready. We pinpoint high-impact use cases, then deliver training and managed AI Testing Services, one trusted partner from assessment to scale, backed by 25+ years of QA leadership.