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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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

Utilize flespi to consolidate standardized data from diverse IoT and telematics sources, oversee devices remotely, enhance messages, and conduct real-time data analysis. Establish connections with a wide range of GPS trackers for vehicles, assets, personal devices, scooters, mopeds, and bikes from multiple manufacturers. Incorporate additional data from BLE tags, beacons, various meters, and other sensing instruments to enrich the overall dataset. Stream telemetry information from the online platforms supplied by different vehicle manufacturers. Our collaboration with GPS tracker producers allows us to employ a robust proprietary protocol description language, ensuring no byte goes unexamined. By standardizing the naming conventions of the most frequently used data points across various protocols, we facilitate easier data consumption while improving accuracy and efficiency. This approach not only enhances interoperability but also promotes a seamless experience for users managing their IoT devices.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Google Cloud Platform Yes 
Microsoft Azure Yes 
Advantech WebAccess/CNC Yes 
Amazon Web Services (AWS) No 
Azure Stream Analytics Yes 
Barracuda PST Enterprise Yes 
Haulk No 
SIGNL4 Yes 

Integrations

Google Cloud Platform Yes 
Microsoft Azure Yes 
Advantech WebAccess/CNC No 
Amazon Web Services (AWS) Yes 
Azure Stream Analytics No 
Barracuda PST Enterprise No 
Haulk Yes 
SIGNL4 No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Crosser Technologies

Founded

2016

Country

Sweden

Website

www.crosser.io

Vendor Details

Company Name

flespi

Country

Lithuania

Website

flespi.com

Product Features

IoT

Application Development No 
Big Data Analytics No 
Configuration Management No 
Connectivity Management No 
Data Collection No 
Data Management No 
Device Management No 
Performance Management No 
Prototyping No 
Visualization No 

IoT Analytics

Activity Dashboard No 
Activity Tracking No 
Analytics No 
Asset Tracking No 
Data Collection No 
Data Synchronization No 
Data Visualization No 
ETL No 
Multiple Data Sources No 
Performance Analysis No 
Real-Time Analytics No 
Real-Time Data No 
Real-Time Monitoring No 
Status Tracking No 

Product Features

Alternatives

Alternatives

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