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What is Simile?

Simulistics is dedicated to developing and distributing Simile, an advanced software solution designed to model and simulate complex dynamic systems in the fields of earth, environmental, and life sciences. Our unique declarative modeling technology, based on logic, offers a clear and visually appealing way to illustrate the interactions present in these systems. By leveraging Simile, researchers in science can streamline their modeling efforts, leading to quicker model preparation, easier resource sharing, and improved maintenance practices. The software also incorporates an object-oriented approach that simplifies the management of disaggregation and individual-based models. Users enjoy the advantage of auto-generated C++ model code, which enhances execution speed significantly. A notable aspect of our software is the availability of plug-and-play modules that facilitate modular modeling; this feature allows users to extract and utilize any model component independently. In addition, our customizable plug-in displays enable users to design graphics that are specifically tailored to their fields of study. With its emphasis on declarative model representation, the manipulation of complex models becomes an uncomplicated task, which greatly boosts productivity in scientific research. As a result, Simile emerges as an essential and adaptable tool that caters to the varied requirements of researchers across multiple scientific disciplines, fostering innovation and collaboration in their work.

What is Ensemble Dark Matter?

Create accurate machine learning models utilizing limited, sparse, and high-dimensional datasets without the necessity for extensive feature engineering by producing statistically optimized data representations. By excelling in the extraction and representation of complex relationships within your current data, Dark Matter boosts model efficacy and speeds up training processes, enabling data scientists to dedicate more time to resolving intricate issues instead of spending excessive hours on data preparation. The success of Dark Matter is clear, as it has led to significant advancements in model accuracy and F1 scores in predicting customer conversions for online retail. Moreover, various models showed improvement in performance metrics when trained on an optimized embedding sourced from a sparse, high-dimensional dataset. For example, applying a refined data representation in XGBoost improved predictions of customer churn in the banking industry. This innovative solution enhances your workflow significantly, irrespective of the model or sector involved, ultimately promoting a more effective allocation of resources and time. Additionally, Dark Matter's versatility makes it an essential resource for data scientists who seek to elevate their analytical prowess and achieve better outcomes in their projects.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

$300.00/one-time/user
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

Simulistics

Date Founded

2000

Company Location

United Kingdom

Company Website

simulistics.com

Company Facts

Organization Name

Ensemble

Date Founded

2023

Company Location

United States

Company Website

ensemblecore.ai/

Categories and Features

Simulation

1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling

Categories and Features

Machine Learning

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

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