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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
Building a dedicated team to create and sustain a connected solution from the ground up can span several years and cost millions of dollars. In contrast, Exosite offers ready-made solutions for condition monitoring, smart home applications, and OEM-connected products that can be launched on the Murano platform instantly, allowing you to start generating value immediately. Exosite's Murano and its pre-packaged solutions are typically offered as multi-tenant hosted infrastructure, which is overseen and supported by the Exosite Dev-Ops team for optimal performance. For organizations that need to keep their software and data within their own infrastructure, single-tenant and on-premise hosting alternatives are also available. This flexibility empowers you to confidently manage a growing array of connected devices, users, analytics, and data storage needs. By utilizing Exosite’s Murano platform, you can effectively navigate the complexities of scaling your infrastructure, enabling you to concentrate on enhancing your business operations and strategies.
API Access
Has API
API Access
Has API
Integrations
Advantech WebAccess/CNC
Azure Stream Analytics
Barracuda PST Enterprise
Everyware Software Framework (ESF)
Google Cloud Platform
Microsoft Azure
Integrations
Advantech WebAccess/CNC
Azure Stream Analytics
Barracuda PST Enterprise
Everyware Software Framework (ESF)
Google Cloud Platform
Microsoft Azure
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$200 per month
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
Exosite
Founded
2009
Country
United States
Website
www.exosite.com/murano-iot-platform
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
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