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What is FIN Framework?
The FIN Framework is recognized as an advanced software platform designed specifically for creating automation and IoT solutions. This all-encompassing software suite encompasses a variety of features such as monitoring, control, scheduling, alarming, visualization, integration, and analytics, all customized for OEM partners to adapt and incorporate into their own systems or products. Presently, numerous system manufacturers operating within the BAS, HVAC, lighting, and shading control industries are utilizing the FIN Framework to enhance their operations. The latest version, FIN 5, brings a wealth of new functionalities and upgrades, including a thoroughly redesigned database and an enhanced system configuration user interface, which promote more efficient engineering workflows. Moreover, the introduction of a template creation wizard simplifies the integration of controllers, significantly decreasing the configuration time for systems integrators and OEMs. In addition to these advancements, various modifications have been made to strengthen the overall durability of the software. J2 Innovations has also added more open APIs, which allow OEMs and developers to further expand the framework's capabilities, creating a more adaptable and innovative environment for application development. This ongoing progression of the FIN Framework showcases J2 Innovations' dedication to equipping its partners with cutting-edge tools to meet their automation requirements, ensuring they remain competitive in a rapidly evolving industry. As technology continues to advance, the FIN Framework is positioned to evolve further, meeting the future needs of its users effectively.
What is Crosser?
Harness the power of Edge computing to transform large datasets into actionable insights that are easy to manage. Collect sensor data from all your machinery and create connections to various devices such as sensors, PLCs, DCS, MES, or historians. Adopt condition monitoring for assets situated in remote locations, effectively adhering to Industry 4.0 standards to ensure optimal data collection and integration. Combine real-time streaming data with enterprise-level information for smooth data transitions, utilizing either your preferred Cloud Provider or an in-house data center for storage needs. Take advantage of Crosser Edge's MLOps features to implement, manage, and deploy your tailored machine learning models, while the Crosser Edge Node accommodates any machine learning framework. You can access a centralized repository for your trained models hosted in Crosser Cloud, and simplify your data pipeline with an intuitive drag-and-drop interface. Easily deploy your machine learning models across multiple Edge Nodes in a single action, enabling self-service innovation through Crosser Flow Studio. Benefit from an extensive collection of pre-existing modules that enhance collaboration among teams in different locations, significantly decreasing dependency on specific team members and boosting overall organizational productivity. By leveraging these advanced capabilities, your operational workflow will not only enhance collaboration but also drive innovation to unprecedented levels, paving the way for future advancements.
Integrations Supported
Advantech WebAccess/CNC
Azure Stream Analytics
Barracuda PST Enterprise
FIN Stack
Google Cloud Platform
Microsoft Azure
Integrations Supported
Advantech WebAccess/CNC
Azure Stream Analytics
Barracuda PST Enterprise
FIN Stack
Google Cloud Platform
Microsoft Azure
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
J2 Innovations
Date Founded
2009
Company Location
United States
Company Website
www.j2inn.com/fin_5_launch
Company Facts
Organization Name
Crosser Technologies
Date Founded
2016
Company Location
Sweden
Company Website
www.crosser.io
Categories and Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Categories and 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