Resolver
More than 1,000 organizations globally rely on Resolver’s software for security, risk management, and compliance. This includes a diverse range of sectors such as healthcare, educational institutions, and vital infrastructure entities like airports, utility companies, manufacturers, hospitality businesses, technology firms, financial services, and retail outlets. For those in leadership roles focused on security and risk management seeking innovative methods to handle incidents and mitigate risks, Resolver offers a pathway to transition from merely addressing incidents to gaining valuable insights. With its comprehensive solutions, Resolver empowers organizations to enhance their overall risk management strategies effectively.
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Canditech
Canditech equips HR professionals and hiring managers with the tools they need to make swift, confident, and impartial hiring choices. Its comprehensive testing platform assesses both technical and interpersonal skills through job simulation evaluations that encompass a range of tasks such as coding, SQL, Excel, and video communication. These assessments serve as strong indicators of a candidate's future job performance and overall fit for the role.
By adopting a holistic perspective, the platform enables recruiters and hiring managers to fairly evaluate candidates for various positions across the organization, including departments like R&D, Marketing, Sales, and Customer Support. Candidates are also given the opportunity to demonstrate their technical abilities alongside their soft skills, fostering a positive experience throughout the hiring process.
From the outset, the platform delivers impressive returns on investment:
✅ Cut down the time-to-hire by 50%
✅ Minimize unnecessary interviews by 80%
✅ Enhance diversity in hiring and mitigate bias
Ultimately, Canditech not only streamlines the hiring process but also promotes a more equitable evaluation of potential employees.
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WebPurify
Enhanced Image Moderation and More. Discover a faster and more efficient method for upholding the quality of user-generated content. Given the complex nature of context and subtlety, our dedicated team of human moderators excels at recognizing violations that may not be immediately obvious, ultimately making informed decisions on which images align with your brand standards. Our Automated Intelligent Moderation (AIM) API service offers continuous protection against the risks associated with user-generated content on your brand's platforms—swiftly identifying and removing inappropriate images. This outstanding solution merges the benefits of automated systems with the expertise of live moderation through a single, intuitive API. By leveraging cutting-edge AI technology, our system effectively detects images that may harbor problematic content, significantly minimizing the volume of submissions requiring human review. The remaining content is then prioritized for examination by skilled professionals who can identify any additional violations, ensuring a comprehensive moderation process. Collectively, these components establish a formidable safeguard for your brand’s digital presence, promoting a safer online environment for all users.
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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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