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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

The FIN Framework stands out as a cutting-edge software platform for the development of automation and IoT solutions. This comprehensive software suite offers a range of functionalities, including monitoring, control, scheduling, alarming, visualization, integration, and analytics, all tailored for OEM partners to personalize and embed within their own systems or products. Currently, various system manufacturers across BAS, HVAC, lighting, and shading control sectors are leveraging the capabilities of the FIN Framework in their operations. The recent update, FIN 5, introduces a host of new features and enhancements, such as a completely revamped database and an updated system configuration UI, which facilitate more efficient engineering processes. Additionally, a new template creation wizard significantly streamlines the integration of controllers, providing systems integrators and OEMs with reduced configuration time. Beyond these improvements, numerous modifications have been implemented to bolster the overall robustness of the product. Furthermore, J2 Innovations has incorporated additional open APIs, enabling OEMs and developers to extend the framework's capabilities even further, fostering a more flexible and innovative environment for application development. This continuous evolution of the FIN Framework demonstrates J2 Innovations' commitment to empowering its partners with state-of-the-art tools for their automation needs.

Description

KINEXON collects real-time localization information and converts it into impactful actions for various sectors, including industry, sports, and entertainment. Unlock insights that were previously out of reach by utilizing our advanced technology, allowing you to turn data into strategic advantages. Are you aware that you can enhance operational efficiency by harnessing real-time location data from interconnected assets for applications like automated order processing, quality assurance, or inventory restocking? By automating processes that involve numerous moving assets, you can greatly reduce the risk of human error and the burden of time-consuming manual operations, leading to heightened overall efficiency. With millions of containers utilized globally in manufacturing, poor management of these assets can lead to significant waste of both time and financial resources. Implementing automated container management systems, which rely on accurate RTLS data regarding container locations and status on the production floor, significantly boosts transparency and utilization of containers, ultimately optimizing operations. Moreover, this level of efficiency can lead to a more streamlined workflow and improved productivity across the board.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

FIN Stack Yes 
Smartabase No 

Integrations

FIN Stack No 
Smartabase Yes 

Pricing Details

No price information available.
Free Trial No 
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 Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

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

Types of Training

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

Vendor Details

Company Name

J2 Innovations

Founded

2009

Country

United States

Website

www.j2inn.com/fin_5_launch

Vendor Details

Company Name

KINEXON

Founded

2012

Country

Germany

Website

kinexon.com

Product Features

IoT

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

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 

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