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Average Ratings 0 Ratings
Description
Gathering data across various devices, networks, and servers can be quite intricate and may incur significant costs. ConnexinOS offers a robust and scalable IoT platform that streamlines the process of data aggregation and integration. Essentially, it consolidates diverse datasets into one unified view, simplifying the oversight of urban areas and communities. It enables the collection of information from any device or network, ensuring that different datasets can communicate effectively. By integrating varied sources into a singular platform, it provides actionable insights based on standard operating procedures, leveraging advanced AI and machine learning technologies. Onboarding and managing devices is a straightforward process, granting users comprehensive control and the option for self-service. Additionally, it facilitates real-time monitoring and alerts based on events and established procedures. The platform also normalizes data from disparate sources so they can operate in harmony. With fully-featured user role-based access controls, security remains a top priority, ensuring sensitive information is protected. Ultimately, this creates an environment where cities can thrive through improved data management.
Description
An entirely managed cloud-based solution that facilitates device registration, connectivity, control, quick visualization, and data storage. By integrating chip, app, and cloud technologies, users can fully leverage Watson's cognitive APIs, feature-rich dashboards, extensive developer tools, and top-tier security measures to enhance insights in enterprise IoT. This service provides predictive, real-time, and edge analysis of user, machine, and environmental data, utilizing machine learning and cognitive APIs. It enables governance over applications and devices within an IoT framework, monitoring usage and performance trends, detecting anomalies, and validating data and transactions. The platform connects IoT devices, networks, and gateways through an expanding ecosystem that employs open standards-based communications such as MQTT and HTTPS. Furthermore, it allows for the identification, aggregation, and transformation of data from various IoT sources into structured asset-based data. Users can harness their IoT data to gain insights into current conditions and trends, analyze unstructured data from videos and images, and extract valuable information from unstructured textual data. Ultimately, this service empowers organizations to make informed decisions based on comprehensive data analysis and visualization.
API Access
Has API
API Access
Has API
Integrations
Cisco IoT Control Center
IBM API Connect
IBM App Connect
IBM Aspera
IBM Cloud
IBM Cloud Pak for Applications
IBM MQ
IBM Watson IoT
SAP Cloud Platform
Sigfox
Integrations
Cisco IoT Control Center
IBM API Connect
IBM App Connect
IBM Aspera
IBM Cloud
IBM Cloud Pak for Applications
IBM MQ
IBM Watson IoT
SAP Cloud Platform
Sigfox
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
Connexin
Founded
2006
Country
United Kingdom
Website
www.connexin.co.uk/connexin-os-iot-platform/
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/cloud/watson-iot-platform
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
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