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What is Paradise?

Paradise utilizes sophisticated unsupervised machine learning techniques alongside supervised deep learning methodologies to improve data analysis and extract more profound insights. By developing specific attributes, it effectively captures crucial geological information that can be leveraged for further machine learning evaluations. The system discerns which attributes demonstrate the greatest variability and impact within a geological framework. Moreover, it visualizes neural classes through associated colors derived from Stratigraphic Analysis, showcasing the spatial arrangement of various facies. Fault detection is performed automatically by integrating deep learning and machine learning approaches. In addition, it facilitates a comparison between the results of machine learning classifications and other seismic attributes, benchmarked against traditional high-quality logs, thereby providing a robust validation method. The system also produces both geometric and spectral decomposition attributes across multiple computing nodes, resulting in significantly faster outcomes than would be possible with a single machine. This remarkable speed not only streamlines the research process but also significantly boosts the efficiency of geoscientific investigations and analyses, paving the way for more innovative exploration strategies.

What is CrossCad/Ware?

CrossCad/Ware provides a platform that enables software developers to incorporate Datakit technology directly into their applications. The Datakit libraries feature an extensive Application Programming Interface (API) that promotes smooth interoperability across different CAD systems. For software companies already leveraging Datakit solutions for the exchange of CAD data, these libraries offer a practical method for integrating with their current software frameworks. They grant crucial access to the information embedded in native data files, which encompasses both 3D and 2D geometrical and topological data, alongside vital elements such as dimensions, tolerances, features, and annotations. This integration process ensures that every data entity is transferred with precision, allowing for careful handling of data attributes and enhancing oversight of the information being shared. This powerful solution meets the needs of Datakit’s clients, particularly software developers, who seek to go beyond mere file-to-file transfers and obtain a more sophisticated means of managing data characteristics, thereby significantly enriching their software capabilities. Furthermore, this enables developers to create applications that are not only more efficient but also provide added value to their end users.

Media

Media

Integrations Supported

3ds Max
CATIA
Creo CADDS 5
Creo View
Inventor
Revit
SOLIDWORKS

Integrations Supported

3ds Max
CATIA
Creo CADDS 5
Creo View
Inventor
Revit
SOLIDWORKS

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

Geophysical Insights

Date Founded

2009

Company Location

United States

Company Website

www.geoinsights.com/products/

Company Facts

Organization Name

Datakit

Date Founded

1994

Company Location

France

Company Website

www.datakit.com/en/crosscad_ware.php

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Categories and Features

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