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Description
Industry 4.0, along with concepts like Smart Agriculture, Smart Cities, Smart Homes, and Smart Healthcare, has ushered in a wave of interconnected technologies - Smart Everything! At the forefront of this evolution is Iotsnap, an open-source IoT platform designed to be versatile across various contexts. Regardless of the differing environments, Iotsnap addresses the universal requirements of IoT projects, such as real-time data processing, historical data analysis, automation, and the integration of artificial intelligence. With its open-source and cloud-ready framework, the Iotsnap platform combines a suite of top-tier "Enterprise Grade" technologies and operates within a container-based cloud system, ensuring both scalability and reliability. More than just a mere platform, Iotsnap represents a comprehensive ecosystem tailored to the needs of modern technology. Developed by Extra Red, Iotsnap collaborates with experienced partners who specialize in chatbot development, augmented reality, sensor technology, and IoT gateways. The architectural framework of Iotsnap was established to cater to diverse needs in the IoT landscape; however, we will focus on its design by examining its application within the manufacturing industry. This targeted exploration allows us to understand how Iotsnap can revolutionize operations and efficiency in a critical sector.
Description
Pratexo significantly speeds up the creation, evaluation, and deployment of distributed systems necessary for advanced applications in artificial intelligence, the Internet of Things, and Industry 4.0. Utilizing established and open technologies, Pratexo establishes a robust and secure platform tailored to the unique requirements of your application. For transformative applications to function effectively, they must detect, analyze, and respond to vast quantities of data in real time. This necessitates a distributed cloud infrastructure that provides essential cloud service capabilities across various locations, particularly close to the edge. Designing and launching such architectures and applications is not only intricate but also poses numerous challenges. Often, applications that initially perform well struggle to maintain efficiency at scale and face difficulties in real-world environments. A significant number of proof-of-concept initiatives for 'digital transformation' either fail or take considerably longer to reach the market than anticipated, underscoring the complexities involved in this process. Consequently, a strategic approach is essential to navigate these hurdles and ensure successful implementation.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
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
Extrasys
Country
Italy
Website
www.iotsnap.it/en/
Vendor Details
Company Name
Pratexo
Founded
2019
Country
United States
Website
pratexo.com
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization