ExoSense vs. Crosser

Unlock crucial insights into your key assets with ExoSense®, a straightforward condition monitoring tool designed for rapid implementation that offers operational transparency for industrial systems, assets, and equipment. This application features an easy-to-navigate configuration setup, allowing users to personalize branding, themes, user hierarchies, and roles without needing coding skills. In under an hour, you can configure the application, connect pre-set devices within a day, and provide a working solution to clients in just a week. This efficient process significantly reduces initial expenses, lengthy development schedules, and the reliance on an internal DevOps team, rendering IoT solutions both effective and cost-efficient. Built on the robust Murano IoT platform, ExoSense guarantees essential security, scalability, and integration capabilities for enterprise-level IoT applications. By leveraging ExoSense, you can proficiently track equipment status and performance, manage diverse user and asset groups, develop personalized insights and dashboards, and establish custom alerts and notifications, thereby improving overall operational productivity. The flexibility of ExoSense enables organizations to swiftly respond to evolving requirements and refine their asset management practices without interruption, ensuring a competitive edge in a dynamic market. This adaptability not only enhances operational workflows but also fosters innovation in asset management strategies, further positioning organizations for success.

Harness the power of Edge computing to transform large datasets into actionable insights that are easy to manage. Collect sensor data from all your machinery and create connections to various devices such as sensors, PLCs, DCS, MES, or historians. Adopt condition monitoring for assets situated in remote locations, effectively adhering to Industry 4.0 standards to ensure optimal data collection and integration. Combine real-time streaming data with enterprise-level information for smooth data transitions, utilizing either your preferred Cloud Provider or an in-house data center for storage needs. Take advantage of Crosser Edge's MLOps features to implement, manage, and deploy your tailored machine learning models, while the Crosser Edge Node accommodates any machine learning framework. You can access a centralized repository for your trained models hosted in Crosser Cloud, and simplify your data pipeline with an intuitive drag-and-drop interface. Easily deploy your machine learning models across multiple Edge Nodes in a single action, enabling self-service innovation through Crosser Flow Studio. Benefit from an extensive collection of pre-existing modules that enhance collaboration among teams in different locations, significantly decreasing dependency on specific team members and boosting overall organizational productivity. By leveraging these advanced capabilities, your operational workflow will not only enhance collaboration but also drive innovation to unprecedented levels, paving the way for future advancements.