ARGOS Identity
ARGOS serves as a cutting-edge platform focused on AI-driven digital identity solutions. We are transforming the global landscape of identity experiences, impacting how individuals and organizations interact with their identities. Our mission is to develop crucial identity solutions that prioritize the safety and security of digital environments across the globe. With our services, we enable you to recognize anyone, no matter the location or time! Our commitment is to enhance the trust and reliability of digital interactions for everyone involved.
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Square 9
Square 9's advanced AI-driven platform revolutionizes information management by eliminating the need for paper, streamlining tasks with automated digital workflows that enhance productivity. It simplifies operations by capturing data from scanned documents or PDFs, organizing files in an easily searchable database, and creating digital replicas of existing processes using visual workflow designs. This innovative approach not only saves time but also increases efficiency in everyday tasks.
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Apryse PDF SDK
Apryse, which was previously known as PDFTron, is transforming the document landscape. It enables precise viewing, annotating, editing, creating, and generating of PDFs across various platforms, including web, mobile, desktop, and server applications. The technology offered by Apryse is compatible with all leading platforms and supports a wide array of file formats, such as PDF, Microsoft Office, and CAD files. By implementing this solution on your own infrastructure, you can manage the entire document and data lifecycle without the need to rely on external server services. This independence allows organizations to enhance their workflows and maintain greater control over their document processes.
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Amazon Rekognition
Amazon Rekognition streamlines the process of incorporating image and video analysis into applications by leveraging robust, scalable deep learning technologies, which require no prior machine learning expertise from users. This advanced tool is capable of detecting a wide array of elements, including objects, people, text, scenes, and activities in both images and videos, as well as identifying inappropriate content. Additionally, it provides accurate facial analysis and search capabilities, making it suitable for various applications such as user authentication, crowd surveillance, and enhancing public safety measures.
Furthermore, the Amazon Rekognition Custom Labels feature empowers businesses to identify specific objects and scenes in images that align with their unique operational needs. For example, a company could design a model to recognize distinct machine parts on an assembly line or monitor plant health effectively. One of the standout features of Amazon Rekognition Custom Labels is its ability to manage the intricacies of model development, allowing users with no machine learning background to successfully implement this technology. This accessibility broadens the potential for diverse industries to leverage the advantages of image analysis while avoiding the steep learning curve typically linked to machine learning processes. As a result, organizations can innovate and optimize their operations with greater ease and efficiency.
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