Reduce defects, improve release confidence and protect user experience with structured quality assurance and software testing. Our neurodivergent consultants help identify issues earlier, uncover edge cases and improve software quality with precision and consistency.
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Our Quality Assurance & Testing teams include neurodivergent professionals, all of whom are autistic, bringing strengths that are highly valuable in testing work: precision, pattern recognition, sustained focus and consistency in complex test environments.
300+ global clients across diverse technology domains, including significant experience in critical infrastructure. The stability and credibility to handle complex international projects.
Our autistic test specialists bring precision and analytical focus to every engagement. Working closely with your teams, they assess which combination of manual and automated testing best fits your environment and objectives, then design, implement and run it.
Our autistic technologists bring strengths in pattern recognition, focus and consistency, helping detect what others overlook in complex systems and data.
Our workforce consists of 350+ autistic consultants, operating across 13 countries worldwide, we have the infrastructure to scale projects across borders, while keeping data within required jurisdictions.
Working closely with our job coaches, we shape each engagement around the working styles of our autistic professionals. Where social responsibility and technical performance reinforce each other, clients gain measurable returns on their investment alongside genuine progress on ESG and CSRD commitments. For your teams, the result is project delivery that works, and a direct experience of what neuroinclusion looks like in practice.
auticon supports the full software testing lifecycle, from requirements analysis and test planning to execution, reporting and continuous improvement. We help teams create a structured testing approach that fits their systems, timelines and release goals.
Application scenarios include:
We start with your technology goals, release priorities and business outcomes, then shape the right neurodiverse team and QA delivery model around them, with governance, reporting and quality controls built in.
Ideal for clearly defined QA initiatives such as release testing, regression suite improvement, accessibility testing, test automation setup or disaster recovery validation.
Ongoing QA support to maintain test coverage, run regression cycles, manage defects and improve release confidence over time.
QA specialists embedded into your existing teams, tools and workflows, supporting agile delivery from within your environment.
We support every phase of the software testing life cycle, from early requirements analysis to test execution, defect management and continuous improvement. By working closely with your stakeholders, tools and delivery processes, we create a testing approach that fits your systems, timelines and release goals.
We review requirements, user stories and business objectives to identify what needs to be tested, where risks may appear and how coverage should be measured. This can include a test traceability matrix, test coverage review and assessment of automation feasibility.
We define the right testing strategy, scope and methodology for your project. This includes test effort estimation, roles and responsibilities, tooling, risk management, defect management and alignment with product owners, business analysts and delivery teams.
We create test suites, test cases and test scripts based on agreed scenarios, user journeys and acceptance criteria. We also support test data preparation, environment setup and configuration for manual, automated and hybrid testing approaches.
We execute test cases and scripts according to the test plan, capture and analyse results, log defects and retest fixes once they have been addressed by the development team.
We can support test strategy, process assessment, test suite audits, defect lifecycle management, Agile/Scrum testing practices and UAT best practices to improve quality across the full delivery cycle.
High-quality testing is not only about following test scripts. It is about noticing inconsistencies, edge cases and unexpected behaviours before they become user-facing problems.
Different cognitive perspectives can improve defect detection, test coverage and consistency across complex systems. In QA and testing, this helps teams identify issues earlier, reduce rework and release with greater confidence.
We call this Edge Thinking.
The advantage created when different ways of thinking come together to solve complex problems.
In quality assurance, that leads to more precise testing, stronger coverage, clearer defect reporting and more reliable software over time.
AI systems require a different testing methodology from traditional software. We test LLM output consistency and hallucination rates, model behaviour under unexpected inputs, AI API reliability and error handling, output bias and regression across model versions.
Manual QA involves human testers reviewing requirements, writing test plans and executing test cases, essential for exploratory testing, edge case detection and scenarios that require judgement. Test case automation creates scripts that run automatically on each release, providing fast regression coverage at scale. Most effective QA strategies use both.
Shift-left testing means involving QA earlier in the development cycle, during requirement analysis and sprint planning rather than after development is complete. Defects caught early cost significantly less to fix than defects found in production. We support shift-left approaches as standard.
We test against WCAG 2.1 and ADA Section 508 for websites and mobile applications. Testing covers both automated checks and manual verification, because automated tools alone identify only a subset of accessibility issues. We extend scope to AI-generated content and AI-powered interfaces where relevant.
We test core functionality of critical applications in DR environments, validating that your recovery plan works before a cyberattack or infrastructure failure proves it doesn’t. This includes AI systems, inference pipelines and model availability alongside traditional IT systems.
The International Software Testing Qualifications Board sets the globally recognised certification standard for software testers. Our QA teams are experienced working within ISTQB frameworks. Certification coverage varies by country and consultant, we confirm the specifics during scoping.
Yes. We start with a gap analysis of your existing test suite to identify what’s covered, what’s missing and where automation adds the most value.
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