Jama Connect
Jama Connect®, a product development platform, uniquely creates Living Requirements™. This digital thread is created through siloed, test, and risk activities to provide end to end compliance, risk mitigation, process improvement, and compliance. Companies creating complex products, systems, and software can now define, align, and execute on what they need. This reduces the time and effort required to prove compliance and saves on rework. You can be sure of success by choosing a solution that is easy-to-use, flexible, and offers support and services that are adoption-oriented.
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qTest
Software testing must be centrally managed and visible from conception to production in order to make software releases more secure and faster. Tricentis qTest enables teams to collaborate and ship faster, with less risk, by unifying, managing, and scaling testing across the enterprise. Robust testing includes a variety of testing tools, teams, test types, and testing methods. Tricentis qTest combines them all so that teams can release more confidently and reduce risk. It also helps identify opportunities to move faster - collectively. Automate more testing, increase the release velocity, and bring together teams throughout the software development process. Native DevOps integrations such as Jira, Jenkins and GitHub keep QA and development in sync. With a full audit trail, trace defects and tests back to development and requirements. Align teams with cross-project reporting.
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Mitutoyo AI INSPECT
Mitutoyo has established itself as a global frontrunner in the realm of precision measuring tools and solutions. In our dedication to supporting your goal of producing entirely defect-free products, we have harnessed artificial intelligence to devise an innovative approach to the intricate challenge of defect detection. Historically, the process of visual defect detection has been not only expensive but also labor-intensive. With the advent of AI INSPECT from Mitutoyo, we empower users to craft straightforward yet advanced defect detection systems for visual inspection, thanks to the remarkable capabilities of artificial intelligence and machine learning. This state-of-the-art software employs deep-learning convolutional networks to discern the visual discrepancies between normal and defective pixels across any series of related images. Users can easily upload images of both defects and normal products into the application to establish a project model. They can then utilize intuitive marking tools to identify defects within the images. Furthermore, the software provides a guided training setup process that requires no prior knowledge of artificial intelligence, making it accessible to all users who wish to enhance their inspection capabilities. Ultimately, this transformative tool not only simplifies the defect detection process but also enhances overall product quality.
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Qii.AI
Conventional inspection techniques often suffer from being both time-consuming and prone to inaccuracies. Qii.AI offers a solution that accelerates defect detection through an AI-driven platform designed to effectively label, train, and oversee your drone inspection data. Our platform unifies all stakeholders, providing a user-friendly interface that can be accessed from any location, thereby enhancing the overall inspection process. With Qii.AI, users can analyze inspection data, generate 3D digital replicas, and coordinate team efforts seamlessly. You have the power to label and train your AI models, developing intelligence tailored to your organization’s specific mission. Recognizing a significant challenge in the drone inspection industry—namely, the difficulty in managing and disseminating the vast amounts of data collected—we established Qii.AI to streamline the process for inspection teams, allowing them to detect and address defects more efficiently than ever before. This innovative approach not only improves accuracy but also promotes collaboration among team members, ultimately leading to better outcomes.
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