
Qloo, the "Cultural AI", is capable of decoding and forecasting consumer tastes around the world. Privacy-first API that predicts global consumer preferences, catalogs hundreds of million of cultural entities, and is privacy-first. Our API provides contextualized personalization and insight based on deep understanding of consumer behavior. We have access to more than 575,000,000 people, places, and things. Our technology allows you to see beyond trends and discover the connections that underlie people's tastes in their world. Our vast library includes entities such as brands, music, film and fashion. We also have information about notable people. Results are delivered in milliseconds. They can be weighted with factors like regionalization and real time popularity. Companies who want to use best-in-class data to enhance their customer experiences. Our flagship recommendation API provides results based on demographics and preferences, cultural entities, metadata, geolocational factors, and metadata.
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Dragonfly serves as a seamless substitute for Redis, offering enhanced performance while reducing costs. It is specifically engineered to harness the capabilities of contemporary cloud infrastructure, catering to the data requirements of today’s applications, thereby liberating developers from the constraints posed by conventional in-memory data solutions. Legacy software cannot fully exploit the advantages of modern cloud technology. With its optimization for cloud environments, Dragonfly achieves an impressive 25 times more throughput and reduces snapshotting latency by 12 times compared to older in-memory data solutions like Redis, making it easier to provide the immediate responses that users demand. The traditional single-threaded architecture of Redis leads to high expenses when scaling workloads. In contrast, Dragonfly is significantly more efficient in both computation and memory usage, potentially reducing infrastructure expenses by up to 80%. Initially, Dragonfly scales vertically, only transitioning to clustering when absolutely necessary at a very high scale, which simplifies the operational framework and enhances system reliability. Consequently, developers can focus more on innovation rather than infrastructure management.
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Lumafield
Lumafield's X-ray computed tomography system provides unparalleled insights into objects, revealing features that were previously hidden. With its innovative Neptune CT scanner, which is user-friendly and complemented by the Voyager cloud-based software, Lumafield removes the hassle from inspection processes, addressing challenges from the design phase all the way to mass production. This Neptune scanner is an essential tool for engineering teams, suitable for both offices and workshops, featuring an intuitive, AI-enhanced interface that enables anyone to conduct scans effortlessly. The Voyager software transforms these scans into measurable and actionable data, allowing users to visualize, analyze, and share insights in real-time simply through a web browser. Additionally, Lumafield's platform is ready for automation, facilitating comprehensive CT inspections on high-volume production lines, which enables thorough examination of every manufactured part, ensuring quality control and enhancing supply chain management. By fully integrating this technology into your workflow, you gain a competitive edge in maintaining product excellence.
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3D-DOCTOR
3D-DOCTOR is a sophisticated software solution designed for 3D modeling, image processing, and measurement across various imaging modalities, including MRI, CT, PET, and microscopy, as well as scientific and industrial applications. It accommodates both grayscale and color images in multiple formats such as DICOM, TIFF, Interfile, GIF, JPEG, PNG, BMP, PGM, MRC, RAW, and more. This powerful software generates 3D surface models and performs volume rendering from 2D cross-sectional images in real-time on your computer. Users can export polygonal mesh models in various formats, including STL, DXF, IGES, 3DS, OBJ, VRML, PLY, and XYZ, making it suitable for applications like surgical planning, simulation, quantitative analysis, finite element analysis, and rapid prototyping. In addition, it allows for 3D volume calculations and other measurements crucial for quantitative insights. The vector-based tools enhance the ease of handling image data, facilitating measurement and analysis efficiently. Moreover, 3D CT and MRI images can be re-sliced along any chosen axis, and it is capable of registering multi-modality images to produce comprehensive image fusions, ensuring a versatile approach to imaging challenges.
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