Kontainer
Kontainer: Streamlining DAM & PIM for the Modern Enterprise
Kontainer delivers robust Digital Asset Management (DAM) and Product Information Management (PIM) tools designed for teams that value clean UX, deep customization, and seamless integration across complex tech environments.
Built with scalability and security in mind, Kontainer's platform enables organizations to maintain brand consistency, enforce data governance, and automate asset workflows without disrupting existing systems. Whether you're syncing across CMS, ERP, CRM, or e-commerce platforms, Kontainer plays nicely with your stack.
Key features include:
◦ Digital Asset Management (DAM)
◦ Product Information Management (PIM)
◦ AI-driven tagging and multilingual product descriptions
◦ GDPR-compliant consent and photo approval workflows
◦ Centralized brand guidelines and custom templates
◦ Smart search, marketing tools, and presentation kits
◦ Custom landing pages and branded content hubs
From marketing and sales to compliance and creative teams, Kontainer supports collaborative workflows while keeping file governance tight and user access precise.
With two decades of experience, Kontainer isn't just software—it's a partner in digital infrastructure.
Try a free demo and see how streamlined asset and product data management can fuel your digital ecosystem.
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Building Logistics
Building Logistics is a comprehensive solution that manages the incoming flow of packages in buildings, offices, universities, and hotels, ensuring seamless tracking, scanning, sorting, and recipient notifications for each package. With PackageX’s advanced AI scanning technology, the system captures text, QR codes, and barcodes to ensure flawless package intake, enabling efficient package management. The platform also features data validation, automatic contact matching, customizable notifications, and chain of custody tracking, all designed to improve delivery workflows and reduce errors. By providing a more efficient system, PackageX increases delivery speed, accuracy, and overall operational efficiency, making it the ideal choice for managing package logistics in high-traffic environments. With 99% accuracy in package intake, zero lost packages, and twice the efficiency of traditional methods, PackageX delivers a seamless and hassle-free recipient experience.
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E42 AI Accounts Payable Automation
By effortlessly handling diverse invoice formats from various channels and seamlessly integrating with your ERP system, Neil automates the entire AP process. This empowers your team to focus on strategic initiatives while Neil ensures accurate and timely invoice processing with an impressive 85%+ accuracy rate.
Going beyond conventional RPA and OCR limitations, Neil leverages advanced AI and machine learning to extract critical data, optimize workflows, and maintain open communication with vendors. Result? 90% straight-through processing (STP), significantly reduced human error, strengthened vendor satisfaction, and overall optimized cash flow with better visibility and vendor discounts with timely payments.
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Google Cloud Natural Language API
Leverage advanced machine learning techniques for thorough text analysis that can extract, interpret, and securely store textual data. With AutoML, you can create top-tier custom machine learning models effortlessly, without writing any code. Implement natural language understanding through the Natural Language API to enhance your applications. Utilize entity analysis to pinpoint and categorize various fields in documents, such as emails, chats, and social media interactions, followed by sentiment analysis to gauge customer feedback and derive actionable insights for product improvements and user experience. The Natural Language API, combined with speech-to-text capabilities, can also provide valuable insights from audio sources. Additionally, the Vision API enhances your capabilities with optical character recognition (OCR) for digitizing scanned documents. The Translation API further enables sentiment understanding across diverse languages. With custom entity extraction, you can identify specialized entities within your documents that may not be recognized by standard models, saving both time and resources on manual processing. Ultimately, you can train your own high-quality machine learning models to effectively classify, extract, and assess sentiment, making your analysis more targeted and efficient. This comprehensive approach ensures a robust understanding of textual and audio data, empowering businesses with deeper insights.
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