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What is Symbolica?

Existing machine learning models are expensive to develop, complex to deploy, difficult to validate, and often produce misleading outputs. At Symbolica, we are fundamentally rethinking the machine learning paradigm. By utilizing the powerful framework of category theory, we design models capable of understanding and learning algebraic structures. This innovative strategy enables our models to possess a thorough and systematic worldview that is both explainable and subject to verification. We aim to empower both developers and end users to understand and communicate the rationale behind model outputs. Achieving this level of interpretability and control—such as the flexibility to exclude proprietary information from training datasets—is vital for applications that are crucial to achieving mission objectives. Furthermore, we are confident that improving transparency in the decision-making processes of models will enhance trust and collaboration between human users and artificial intelligence systems, ultimately leading to more effective partnerships. This commitment to clarity not only benefits users but also strengthens the overall integrity of machine learning applications.

What is GAMS?

The General Algebraic Modeling System, commonly known as GAMS, is a top-tier software solution celebrated for its robust mathematical modeling capabilities, outstanding performance, and ease of use. The introduction of GAMSPy has allowed users to integrate GAMS features with Python effortlessly, which significantly boosts the efficiency and flexibility of model creation within the Python ecosystem. Its algebraic modeling language facilitates the straightforward formulation of optimization problems, enabling the attainment of optimal solutions through sophisticated mathematical solvers. Additionally, GAMS MIRO offers user-friendly graphical interfaces for managing GAMS models, accommodating both local and cloud deployments, and providing advanced visualization tools. For those in need of scalable options, the GAMS Engine delivers a reliable software as a service (SaaS) solution, allowing for the execution of models on local machines or in cloud environments. Beyond these functionalities, GAMS is dedicated to enriching user experience through a variety of workshops, training programs, and consulting services, which are designed to enhance their skills in developing, refining, and implementing effective decision-support systems. This holistic support structure not only empowers users to maximize the capabilities of GAMS but also encourages continuous innovation and operational efficiency in their modeling projects. Ultimately, GAMS stands out as an essential tool for anyone looking to tackle complex mathematical challenges effectively.

Media

Media

Integrations Supported

Artelys Knitro
Python

Integrations Supported

Artelys Knitro
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$3,500 one-time payment
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

Symbolica

Company Website

www.symbolica.ai

Company Facts

Organization Name

GAMS

Date Founded

1987

Company Location

United States

Company Website

www.gams.com

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Categories and Features

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

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