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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Utilizing our digital twin platform, Twinit.io, BIM Classify serves as a robust foundation for your digital twin projects. This collaborative, cloud-based software includes authoring tool plug-ins designed to assist modelers in accurately and consistently classifying their model content. You can create and manage the necessary classification systems, enabling the creation of equivalencies between different classification systems as required. Additionally, the software offers plug-in recommendations for BIM authoring tools, ensuring that your entire team can uniformly classify elements within the models, thereby enhancing your understanding of model contents. By leveraging BIM, you can derive greater value for various workflows, such as estimating, planning, and creating digital twins. Administrators can easily configure classification systems, mapping rules, and equivalences through the BIM Classify web app. Modelers benefit from the BIM Classify Revit plugin, which streamlines the classification process for their model content. As a result, users of BIM data can access precise information for estimates, quantity takeoffs, asset management, and several other applications. This comprehensive approach not only strengthens collaboration but also boosts overall efficiency in project execution.

Description

The Rinalogy Classification API offers a flexible machine learning solution that seamlessly integrates into your existing application while allowing you to operate within your own infrastructure. In contrast to traditional cloud-based machine learning APIs that necessitate data transfer and operate in an external environment, Rinalogy allows for deployment within your IT framework, ensuring data security and compliance as it works behind your firewall. This API utilizes Exhaustive Sequential Classification, systematically applying models to every document within a dataset. The models generated can be enhanced with additional training data or leveraged for predicting outcomes on new documents at a later time. With its ability to scale through cluster deployment, you can modify the number of workers based on your current workload needs. Furthermore, the Rinalogy API empowers client applications by incorporating features such as text classification, enhanced search capabilities, and personalized recommendations, providing a comprehensive toolkit for data-driven decision-making. This versatility makes it an appealing choice for organizations aiming to optimize their machine learning processes while maintaining control over their data.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Revit Yes 

Integrations

Revit No 

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 Yes 
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) Yes 
In Person Yes 

Types of Training

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

Vendor Details

Company Name

Invicara

Country

United States

Website

invicara.com/platform/products/bim-classify

Vendor Details

Company Name

RINA Systems

Country

United States

Website

www.rinasystems.com/product/rinalogy-api.html

Product Features

BIM

2D Drawing No 
3D Modeling No 
Change Management No 
Collaboration No 
Conflict Tracking No 
Design Modeling No 
Document Management No 
For Facility Management No 
Mobile Access No 
Scheduling No 

Product Features

Natural Language Processing

Co-Reference Resolution No 
In-Database Text Analytics No 
Named Entity Recognition No 
Natural Language Generation (NLG) No 
Open Source Integrations No 
Parsing No 
Part-of-Speech Tagging No 
Sentence Segmentation No 
Stemming/Lemmatization No 
Tokenization No 

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