Top 50 Ai Testing in Europe

The startup operates an artificial intelligence-powered platform that visualizes the complete testing environment through intelligent sensors, providing real-time alerts for anomalous results via text and email. This technology enhances experimental reproducibility, enabling clients to refine their processes and accelerate product innovation across all development phases.

Haize Labs rigorously stress-tests AI models to identify and mitigate potential failure modes before deployment. This proactive approach enhances the robustness and reliability of AI applications across various industries and use cases.

This startup offers an autonomous software testing platform that automates user journey testing across systems and technologies. By combining functional and visual testing, the platform enables developers and testers to deliver higher quality software through comprehensive test automation.

QuantPi provides an AI Trust Platform that automates the testing and auditing of AI models for explainability and robustness. This platform enables organizations to ensure the reliability and compliance of their AI systems, facilitating informed decision-making and minimizing operational risks.

Giskard provides an automated testing platform for AI models that identifies performance, bias, and security issues, ensuring compliance with the EU AI Act. By streamlining the testing process, Giskard reduces the time spent on manual evaluations and enhances the consistency of AI quality and security practices across enterprise deployments.

The startup offers an AI and machine learning-based autonomous testing platform that automates the planning, creation, maintenance, and analysis of software tests. This technology reduces the reliance on human intervention, thereby minimizing waste in the software development and testing process, which enhances overall efficiency and quality of software services.

The startup offers a process automation platform that utilizes a visual interface to automate tasks and monitor critical applications without the need for coding. This approach enhances software testing efficiency by providing end-to-end verification, reducing maintenance efforts, and lowering operational costs while improving product quality.

Provides an AI-powered end-to-end testing platform that automatically generates, runs, and maintains QA tests for web applications. It identifies 95% of bugs, reduces manual testing costs by up to €16,500, and integrates seamlessly into CI/CD pipelines to ensure continuous, real-time quality assurance.

Octomind is an AI-driven developer tool that automatically generates, executes, and maintains Playwright end-to-end tests for web applications, significantly reducing the time and effort required for quality assurance. By identifying critical user flows and running tests in parallel, Octomind helps teams detect bugs early and ensures consistent application performance without the need for extensive manual testing.

Monolith AI provides an AI platform that optimizes test plans and automates data inspection for engineering teams, significantly reducing testing time and improving data accuracy. By addressing inefficiencies in physical testing and undetected errors in sensor data, Monolith enables faster product validation while minimizing risks to safety and brand reputation.

Mindgard Ltd provides an AI security platform that identifies and mitigates vulnerabilities in AI models through automated security testing and continuous monitoring for adversarial attacks. This solution enables enterprises to enhance their AI security posture while integrating seamlessly with existing cybersecurity tools, ensuring efficient risk assessment and resource optimization.

Modl.ai provides an AI-driven engine that utilizes virtual player bots for automated quality assurance and player behavior simulation throughout the game development lifecycle. This technology identifies bugs and performance issues while ensuring balanced gameplay and enhanced player engagement, significantly reducing testing time and costs.

Opkey is an AI test automation platform that enables organizations to automate testing for finance, HR, and ERP software without coding, utilizing a no-code interface and a library of over 30,000 pre-built tests. This technology significantly reduces testing efforts by up to 80% and accelerates regression testing cycles, minimizing downtime risk and operational costs.

This platform provides automated testing for web applications and APIs, including visual and accessibility validation. By integrating with CI/CD pipelines and third-party tools, the platform helps development teams accelerate testing and improve software quality.

Virtuoso develops a codeless test automation platform that integrates Natural Language Programming and Robotic Process Automation to enable users to create and execute tests in plain English. This technology reduces testing costs by up to 85% and accelerates deployment by providing self-healing tests that ensure comprehensive coverage and faster feedback.

Trismik provides a scientific-grade LLM evaluation platform that accelerates testing with an adaptive querying methodology. This approach intelligently selects high-signal test items, reducing query volumes by up to 180x to uncover model weaknesses efficiently.

Diffblue Cover is an AI-powered solution that autonomously generates reliable Java unit and regression tests using reinforcement learning, significantly increasing testing speed and accuracy. This technology enables development teams to achieve high code coverage and maintain code quality while reducing the time spent on manual test writing by up to 95%.

The startup offers an AI-based platform that enables the development, measurement, and management of large language model (LLM) automation at scale. Its tool provides production-ready generative AI applications with semantic observability, allowing enterprises to continuously monitor LLM behavior and transform AI experiments into strategic assets.

The startup operates an AI-driven venture studio that automates complex, multi-level decision-making processes traditionally reliant on human input. By providing a shared technological and operational framework, the company enables teams of entrepreneurs and engineers to efficiently transform leading research into market-ready products while offering seed financing and access to industry networks.

Tessl offers an AI native development platform that generates secure, high-quality code based on user-defined specifications, utilizing rigorous conformance tests for quality assurance. This approach addresses the challenges of manual coding and maintenance by automating the software development process, ensuring reliable and maintainable code.

Langtail is a low-code platform that enables teams to test and debug LLM-powered applications using real-world data, ensuring prompt reliability and performance. By providing tools for prompt collaboration, testing, and analytics, Langtail reduces the time spent on manual debugging and enhances the overall quality of AI applications.

Code Intelligence offers an AI-guided white-box fuzz testing tool that automates security testing for C and C++ applications, enabling developers to detect memory corruption issues and critical vulnerabilities early in the development process. By providing up to 100% code coverage and zero false positives, the tool accelerates root cause analysis, allowing issues to be identified and resolved in minutes.

The startup develops AI-driven tools that automate routine tasks, enhancing productivity for users across various sectors. By streamlining workflows and reducing manual effort, the platform enables individuals and teams to focus on higher-value activities.

TestingTime is an automated recruiting platform that utilizes artificial intelligence to match researchers with suitable test users from a global pool of over 950,000 participants for usability tests, interviews, and surveys. The service streamlines the recruitment process by managing appointments, ensuring participant attendance, and handling incentive payments, thereby reducing the logistical burden on researchers.

Safe Intelligence offers deep validation AI systems that rigorously test and improve the reliability of AI models. Their technology helps organizations ensure their AI systems perform as expected and meet required safety standards.

Opnbook provides a platform that quantitatively measures AI performance and analyzes return on AI investments for businesses. This enables organizations to make data-driven decisions about their AI initiatives, ensuring effective resource allocation and maximizing ROI.

Tikos provides an AI assurance platform that helps organizations build and maintain trustworthy AI systems. It offers tools for model audit, assessment, and ongoing monitoring to ensure fairness, transparency, accuracy, and accountability, enabling compliance with AI regulations.

Antithesis provides a cloud-based platform that autonomously tests software systems in a fully deterministic simulated environment, continuously identifying bugs by injecting faults and analyzing system behavior. This approach significantly reduces the time developers spend on testing and debugging, allowing them to focus on building reliable software.

Orq.ai provides a generative AI collaboration platform that enables software developers and product teams to build, test, and deploy reliable AI features efficiently. The platform addresses the challenges of integrating AI models by offering controlled deployments, prompt engineering, and observability tools, ensuring that teams can deliver trustworthy AI solutions without extensive technical expertise.

Data Machine Intelligence (DMI) provides an end-to-end engineering platform that utilizes simulation, synthetic data generation, and human-in-the-loop testing to develop safe AI systems for aerospace applications. By streamlining the development process and enhancing system transparency, DMI addresses the challenges of lengthy development cycles and insufficient real-world testing in the aerospace industry.

Themis AI offers Capsa, a model-agnostic platform that integrates uncertainty quantification into any AI model, enabling developers to identify and correct unreliable outputs. By providing real-time risk assessments, Capsa enhances AI quality assurance and compliance, reducing costs associated with AI deployment and accelerating time to market.

The startup develops an AI platform for industrial machines that enables rapid training of complex visual inspection tasks by workers. This technology enhances the efficiency of quality control processes on production lines, allowing clients to implement AI-driven inspections at the edge.

The startup develops artificial intelligence technology that utilizes custom research and technology scouting to identify effective solutions for business challenges. By collaborating with clients, the company enhances operational performance and sustainability through targeted result improvement strategies.

Savery provides an AI-powered platform for autonomous software development and AI model training. Its agent network handles code generation, testing, and parallel development to accelerate software lifecycles and improve productivity.

BotGauge is a no-code test automation platform that utilizes AI to autonomously generate and maintain test cases from product requirements and design documents, enabling users to execute comprehensive testing without technical expertise. By increasing productivity by 20 times and reducing testing costs by 85%, BotGauge addresses the inefficiencies and high expenses associated with manual testing processes in software development.

Deeper Insights provides a platform called Floating Point that optimizes the five key stages of AI project delivery, including model selection, data preparation, training, integration, and management. The company enables businesses to leverage AI effectively while ensuring ownership of intellectual property and adherence to responsible AI standards, addressing the challenges of deploying scalable and reliable AI solutions.

The startup offers an artificial intelligence agent platform that automates machine learning tasks by analyzing data and generating code for data preprocessing, model training, inference, and evaluation. This tool enables developers to efficiently produce customized code and research reports, significantly reducing the time and expertise required for machine learning projects.

The startup has developed a cloud-based health diagnostics platform that utilizes AI-enhanced Nuclear Magnetic Resonance to convert blood samples into digital representations, creating a digital twin of patients. This technology provides affordable health testing for preventative care and precision medicine by delivering metabolic insights derived from blood metabolism measurements.

Bugster provides automated end-to-end testing for software applications by utilizing AI to generate tests from real user interactions, ensuring coverage of critical user flows and edge cases. This approach eliminates the time-consuming process of manual test creation and reduces maintenance efforts by adapting tests automatically as applications evolve.

Tech4Fab provides data-driven analysis and AI-enhanced testing solutions for the manufacturing industry, enabling companies to optimize production processes and improve energy management. By transforming production data into actionable insights, Tech4Fab helps manufacturers increase efficiency and productivity while addressing the challenges of Industry 4.0 implementation.

Epic Test Quest offers an AI-driven test management tool that automates test case generation, report creation, and test plan optimization, enabling teams to efficiently identify and address software bugs. By gamifying the testing process, it enhances team engagement and productivity, making quality assurance both effective and enjoyable.

Raiqon provides an AI platform that enhances requirements and test management in automotive R&D by automating analysis and authoring processes, ensuring compliance with quality guidelines. The platform integrates with existing tools, reduces costs, and accelerates time to market by improving efficiency in managing complex requirements and testing activities.

The startup provides a procedural cybersecurity platform that creates realistic environments for testing AI capabilities and security measures. By managing access to AI resources, it helps organizations mitigate risks associated with misuse and unauthorized access while enhancing the security of their digital infrastructure.

This company offers an AI chatbot platform that enables businesses to create intelligent virtual assistants for customer service. The platform's chatbots learn and improve over time, providing businesses with a scalable and effective way to engage with customers and answer their questions.

RevAIsor provides a trustworthy AI platform that integrates ethical governance frameworks and synthetic data testing specifically for the financial services sector. This approach addresses the critical issues of compliance and transparency in AI systems, reducing risks associated with unprincipled misconduct and enhancing operational efficiency.

Automotive Artificial Intelligence provides the AAI ReplicaR platform, a simulation environment for validating and homologating highly automated driving (HAD) systems through closed and open loop testing. This platform enables engineers to efficiently create, execute, and analyze test scenarios, ensuring compliance with safety guidelines while enhancing test coverage and reducing development costs.

The platform automates non-destructive testing (NDT) by utilizing AI detection algorithms for real-time evaluation and DICONDE data archiving, enabling testing companies to develop tailored inspection systems with their own sensor data. This solution enhances defect detection and operational efficiency while improving safety in the assessment of critical components.

The startup develops a robotic and AI-driven medical system that automates allergy testing, enabling healthcare professionals to diagnose allergic conditions more efficiently. This technology simplifies the identification of allergic patients, improving the accuracy and speed of chronic condition management.

The startup offers a risk assessment platform that provides a self-assessment dashboard for businesses to evaluate their artificial intelligence projects. This tool enables teams to identify ethical pitfalls, data biases, and vulnerabilities, facilitating the mitigation and reporting of ethical risks associated with AI adoption.

Fore AI provides an automated testing agent that generates and executes test cases for web applications based on natural language instructions, enabling teams to identify bugs before they impact users. Founded by ex-Google engineers, the platform enhances the accuracy and reliability of AI applications by streamlining the testing process for product teams.