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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
The Mozilla Data Collective serves as a platform aimed at transforming the AI-data landscape by prioritizing the needs of communities. It empowers data creators and caretakers to share their datasets according to their preferences while maintaining ownership and control over access and conditions. Users are able to upload datasets, select licenses—whether Creative Commons or custom options—define access guidelines, and stipulate requirements for compensation or acknowledgment, all while managing datasets as individuals, cooperatives, or trusts. This platform places a strong emphasis on ethical management, transparency, and community empowerment, standing in opposition to exploitative data extraction practices and fostering fairer participation. With a collection of over 300 high-quality datasets that are both created by and for communities, the platform spans a variety of applications, including multilingual speech-data collections. Additionally, it provides user-friendly tools, such as a public API, to facilitate the integration of these datasets into various applications, thereby enhancing accessibility and usability for developers. Ultimately, Mozilla Data Collective aims to create a more just and inclusive environment for data sharing and usage.
API Access
Has API
API Access
Has API
Integrations
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
Mozilla
Founded
2005
Country
United States
Website
datacollective.mozillafoundation.org
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization