Founded in 2015 by Markus Lukasson and Anna Lukasson-Herzig, Nyris offers advanced visual search solutions aimed at rapidly identifying products and spare parts for corporate clients, positioning itself as a leading innovator in the field. Leveraging nearly a decade's experience with vector search, Nyris has developed a proprietary system that transforms CAD files into synthetic images, facilitating visual searches even when actual product photos are unavailable. Facing limitations of traditional keyword-based searches, particularly in industries like e-commerce and manufacturing, Nyris turned to vector search to improve accuracy and speed by using images that provide richer information. Initially experimenting with Convolutional Neural Networks and later adopting SingleStore for brute-force vector search, Nyris ultimately chose Qdrant for its accuracy, speed, and ability to handle large datasets efficiently. Qdrant's specialization as a dedicated vector search engine, enhanced security features, scalability, and cost-effectiveness make it a crucial part of Nyris's technology stack, enabling them to meet stringent performance criteria. With a vision of transforming product search by integrating various modalities into a unified vector representation, Nyris aims to provide instant and precise search results, marking a shift from traditional text-based methods to vector-based solutions.