Jesta I.S. has been in business for over 50 years. Jesta I.S. is a global provider of enterprise software solutions to retailers, etailers, wholesalers and brand manufacturers, specializing in apparel and footwear. The Vision Suite is a cloud-based, organically engineered platform that optimizes back/front-end supply chain operations. This includes everything from trade/product/demand management to merchandising and POS. It eliminates inefficiencies caused by disjointed apps and provides real-time visibility into enterprise inventory, cross-channel orders and AI-driven CRM data. It supports multiple brands, currencies, languages, and helps businesses create seamless omnichannel shopping experiences.
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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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Carmenta
Carmenta delivers an advanced geospatial software development kit (SDK) along with a suite of tools that facilitate the development of sophisticated applications designed for real-time visualization and analysis of geospatial data across various environments including air, sea, and land. At its core, the Carmenta Engine SDK provides high-performance rendering capabilities for both 2D and 3D maps, incorporating live dynamic data such as video feeds and radar imagery, while also supporting complex analytical functions like line-of-sight evaluations, terrain assessments, and tactical overlays, compatible with operating systems like Windows, Linux, and Android and offering APIs for languages including C++, .NET, Java, and Python. Additionally, the Carmenta Server acts as a scalable web map server backend, capable of accessing and distributing over 100 geospatial data formats via open standards, and facilitating spatial analysis for applications that can be deployed either on-premises or within cloud or containerized environments for interactive web services. The technology’s design prioritizes flexibility and interoperability, ensuring seamless integration into mission-critical systems while adhering to open standards and supporting cross-platform functionalities. This focus on adaptability allows developers to create tailored solutions that meet specific operational needs.
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GRASS GIS
GRASS GIS, which stands for Geographic Resources Analysis Support System, is a powerful, free, and open-source suite of Geographic Information System (GIS) tools designed for the management and analysis of geospatial data, including capabilities for image processing, map production, spatial modeling, and visualization. This versatile software accommodates various data types, such as raster and vector, facilitating sophisticated modeling and data handling, as well as imagery processing and time series analysis through its Python API, which is particularly well-suited for extensive analyses. Compatible with multiple operating systems like OS X, Windows, and Linux, GRASS GIS can be utilized via a graphical user interface or seamlessly integrated with other applications, including QGIS. The software features an extensive library of over 350 modules aimed at tasks such as rendering maps, manipulating raster and vector data, processing multispectral imagery, and effectively managing and storing spatial datasets. Widely adopted in both academic and commercial environments, it also serves the needs of governmental organizations, showcasing its versatility and reliability in various geospatial contexts. The continual enhancements and community support further solidify GRASS GIS as a crucial tool for professionals working in the field of geospatial analysis.
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