Ditto
Ditto is the only mobile database that comes with built-in edge connectivity and offline resilience, allowing apps to sync data without depending on servers or continuous access to the cloud. As billions of mobile and edge devices—and the deskless workers using them—form the backbone of modern operations, organizations are running into the constraints of conventional cloud-first systems. Used by leaders like Chick-fil-A, Delta, Lufthansa, and Japan Airlines, Ditto is at the forefront of the edge-native movement, reshaping how businesses operate, sync, and stay connected beyond the cloud. By removing the need for external hardware, Ditto’s software-based networking lets companies develop faster, more fault-tolerant applications that perform even in disconnected environments—no cloud, server, or Wi-Fi required.
Leveraging CRDTs and peer-to-peer mesh replication, Ditto allows developers to build robust, collaborative applications where data remains consistent and available to all users—even during complete offline scenarios. This ensures business-critical systems remain functional exactly when they’re needed most.
Ditto follows an edge-native design philosophy. Unlike cloud-centric approaches, edge-native systems are optimized to run directly on mobile and edge devices. With Ditto, devices automatically discover and talk to each other, forming dynamic mesh networks instead of routing data through the cloud. The platform seamlessly handles complex connectivity across online and offline modes—Bluetooth, P2P Wi-Fi, LAN, Cellular, and more—to detect nearby devices and sync updates in real time.
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Vertex AI
Completely managed machine learning tools facilitate the rapid construction, deployment, and scaling of ML models tailored for various applications.
Vertex AI Workbench seamlessly integrates with BigQuery Dataproc and Spark, enabling users to create and execute ML models directly within BigQuery using standard SQL queries or spreadsheets; alternatively, datasets can be exported from BigQuery to Vertex AI Workbench for model execution. Additionally, Vertex Data Labeling offers a solution for generating precise labels that enhance data collection accuracy.
Furthermore, the Vertex AI Agent Builder allows developers to craft and launch sophisticated generative AI applications suitable for enterprise needs, supporting both no-code and code-based development. This versatility enables users to build AI agents by using natural language prompts or by connecting to frameworks like LangChain and LlamaIndex, thereby broadening the scope of AI application development.
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DEXIS Eleven
DEXIS Imaging Software serves as an essential tool during diagnosis, treatment, and planning phases. With the introduction of DEXIS Eleven, we continue our legacy of user-centric software by improving workflow efficiency and offering optional features like Cloud Backup and CloudVu. Once an image is captured, DEXIS guarantees its immediate accessibility, facilitating prompt retakes if needed. Users have the ability to zoom in on particular areas, apply enhancements to reveal finer details, and annotate images, which aids in diagnostics. Patients also benefit from the clarity of digital X-ray images, allowing them to better understand their diagnoses and recommended treatments. Sharing these images with other professionals is a simple task, promoting collaboration. Furthermore, DEXIS provides customizable software modules that allow practices to select features tailored to their specific needs, which ultimately boosts performance and enhances patient care. This combination of features fosters a smooth experience that not only streamlines workflows but also enriches communication between patients and healthcare providers, ensuring that everyone is informed and engaged in the treatment process. Ultimately, DEXIS is committed to driving advancements in imaging technology to support excellent patient outcomes.
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Snipp.in
Snipp.in is an innovative web-based application designed to facilitate the efficient management and editing of snippets. Built with technologies including Vue.js, Dexie, and Monaco Editor, it presents a user-friendly interface similar to that of VSCode, enabling users to conveniently organize notes, tasks, and code snippets directly from their browsers. The application securely stores all data in the browser's IndexedDB, which ensures that information is readily accessible without dependence on cloud services; however, users still have the option to create backups and share their content when necessary. With features like syntax highlighting and a streamlined editing experience provided by ProseMirror Editor, Snipp.in supports MultiWindow Editing, allowing users to easily drag and drop files within the editing space for smooth transitions. The tool also includes a handy quick create function with the Ctrl+N shortcut, alongside various keyboard shortcuts for actions such as creating, renaming, and deleting snippets. Users can effortlessly import and export their data, while the development environment supports compilation and hot-reloading, with production setups benefiting from minification for optimized performance. Additionally, Snipp.in can be deployed via Docker, which offers the flexibility to modify the default host binding port from 80 to alternative configurations as required, making it an adaptable resource for developers. This versatility enhances its appeal, allowing a broad range of users to tailor their snippet management experience to their specific needs.
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