Iven Reviews

Epicor Kinetic boasts a legacy of over five decades in manufacturing, establishing itself as a leader in delivering customized solutions on a global scale. At the heart of the Epicor strategy lies the cultivation of authentic, enduring partnerships, which ensures that its offerings are responsive to ever-evolving business requirements. Kinetic aims not only to meet existing needs but also to guide organizations towards the principles of Industry 4.0 and smarter manufacturing practices. This proactive stance is enhanced by the Epicor dedication to pioneering cloud solutions, characterized by unparalleled security, ease of use, and robust support. With an intuitive interface, Epicor Kinetic -- the global, AI-powered cloud ERP designed specifically for discrete, mixed-mode, and make-to-order manufacturers in the small and mid-market spaces -- empowers everyday users to transform business data into actionable insights and impactful reports that enhance productivity. By incorporating cutting-edge AI, machine learning, and Internet of Things technologies, the user experience provided by Kinetic enables a seamless transition to modern manufacturing methodologies. While primarily focused on cloud-based solutions, Epicor Kinetic also accommodates on-premises and hybrid deployment options, ensuring flexibility for various operational needs. Kinetic not only propels customer ambitions forward by offering tools to enhance productivity, growth, and operational efficiency but also solidifies Epicor's role as an indispensable ally for the most vital enterprises worldwide. Consequently, partnering with Epicor translates into a strategic advantage in navigating the complexities of today's manufacturing landscape.

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.

Golioth's IoT cloud platform stands out as a premier solution for IoT development, allowing contemporary engineering teams to swiftly create prototypes and oversee extensive fleets of IoT devices. By prioritizing hardware within your continuous integration and continuous deployment (CI/CD) workflow, Golioth offers a cohesive API along with a device firmware software development kit (SDK) and a robust IoT ecosystem, empowering engineers to construct, integrate, and manage IoT solutions with ease. This IoT cloud platform is uniquely designed to support your entire team, catering to hardware engineers, firmware developers, and cloud and data specialists alike, ensuring seamless collaboration and efficiency throughout the development process.