Artificial intelligence

Open Telekom Cloud’s AI-based OCR leverages advanced deep learning models, such as convolutional neural networks (CNNs), to accurately extract text from scanned documents and images. This service is ideal for digitizing invoices, contracts, and archival documents, enabling easy search, indexing, and further processing. Its continuous learning mechanisms enhance accuracy, even with low-quality scans or handwritten texts.

Operating as a SaaS solution, Magenta Smart Chat exclusively accesses internal knowledge repositories (PDFs, internal files, etc.) of an organization. It is designed to support employees by enabling precise retrieval and contextualization of company-specific information strictly for internal use. With robust data isolation and compliance measures, Magenta Smart Chat helps streamline information discovery and decision-making in secure, regulated environments.

By combining LLMs with RAG-indexed in-house data, you can build a smart chatbot that answers questions and guides users to the best knowledge resources via URLs or files such as PDFs. Our standout example is Chatbot Cloudia, which uses RAG-indexed data from OTC landing pages, service documentation, and community content.

A privacy-centric AI application for schools leverages access to self-trained and tuned AI Models to deliver interactive and innovative learning experiences. Real-time feedback and content personalization adapt to each student’s progress and unique learning needs, creating highly engaging and effective lessons. The platform employs robust role-based access controls to safeguard sensitive student information and strictly limits data visibility to authorized users.

AI-driven automation accelerates the sales cycle by extracting key information from internal documentation, customer details, and regulatory knowledge bases to fill in tender forms. The solution minimizes repetitive data entry and manual errors, enabling faster and more efficient tender responses while maintaining high standards of accuracy and compliance.

An AI-based assistant for medical professionals can automatically analyze and extract key information from electronic health records (EHRs) and clinical notes. Using the advanced capabilities of large language models (LLMs), the assistant highlights relevant patient history, identifies potential risk factors, and surfaces critical trends. By leveraging up-to-date medical guidelines and vast clinical data, it suggests personalized, evidence-based treatment options, supporting healthcare providers in making accurate, data-driven decisions.