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Average Ratings 0 Ratings
Description
Analyze and utilize your data at the Edge to transform Big Data into manageable, pertinent insights. Gather sensor information from all your equipment and establish connections with various devices like sensors, PLCs, DCS, MES, or historians. Implement condition monitoring for assets located remotely, aligning with Industry 4.0 standards for effective data collection and integration. Merge real-time streaming data with enterprise data for seamless data flows, and utilize your preferred Cloud Provider or your own data center for data storage solutions. Leverage Crosser Edge's MLOps capabilities to bring, manage, and deploy your custom machine learning models, with the Crosser Edge Node supporting any machine learning framework. Access a centralized library for your trained models hosted in Crosser Cloud, and streamline your data pipeline using a user-friendly drag-and-drop interface. Easily deploy machine learning models to multiple Edge Nodes with a single operation, fostering self-service innovation through Crosser Flow Studio. Take advantage of an extensive library of pre-built modules to facilitate collaboration among teams across different locations, effectively reducing reliance on individual team members and enhancing organizational efficiency. With these capabilities, your workflow will promote collaboration and innovation like never before.
Description
Cut down on battery usage, minimize data expenses, and decrease your materials bill by utilizing a single global IoT SIM. Improve both signal quality and network management through the use of non-steered SIM cards. Securely link all your devices to a worldwide network with Onomondo IoT SIMs, facilitating the transmission of device data with seamless integration to any endpoint while keeping costs in check. For low-power and low-data IoT devices, innovative solutions tailored for IoT are essential. Onomondo’s cloud connectors streamline connectivity challenges, providing enhanced visibility and control over your operations. Monitor real-time interactions between your devices and the network to elevate performance and service quality. By employing non-steered SIMs, connect devices to stable networks that offer greater redundancy, resulting in improved uptime and a more effective fleet management system. Additionally, optimize your device’s operations and cut down on data expenses by leveraging our core network to reduce unnecessary data usage while maintaining efficiency. This approach not only enhances connectivity but also positions your business for future growth.
API Access
Has API
API Access
Has API
Integrations
Microsoft Azure
AWS IoT Core
Advantech WebAccess/CNC
Amazon Web Services (AWS)
Azure IoT Central
Azure Stream Analytics
Barracuda PST Enterprise
Google Cloud Platform
JSON
Integrations
Microsoft Azure
AWS IoT Core
Advantech WebAccess/CNC
Amazon Web Services (AWS)
Azure IoT Central
Azure Stream Analytics
Barracuda PST Enterprise
Google Cloud Platform
JSON
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Crosser Technologies
Founded
2016
Country
Sweden
Website
www.crosser.io
Vendor Details
Company Name
Onomondo
Country
Denmark
Website
onomondo.com
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
IoT Analytics
Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking