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What is Kingland?

Confidently collect, oversee, and utilize the client and reference data essential for addressing your needs in conflict, risk, and compliance management. With over 35 years of experience, Kingland has adeptly navigated a multitude of challenges within the business, data, and technology fields. Our solutions cater to more than 1,800 broker-dealers, 300 asset management firms, and countless market participants. Owing to our robust client data foundation, FINRA CAT selected Kingland to develop and implement the Customer and Account Information System as part of the Consolidated Audit Trail project. Additionally, we have created, built, and currently manage the leading Legal Entity Identifier (LEI) utility for DTCC. The Kingland Data Platform also underlies crucial reference data solutions for the US mutual fund industry, aiding various top institutions with their risk and regulatory reporting needs. Our extensive modules are specifically designed to facilitate both tactical initiatives and large-scale transformation efforts, ensuring that clients can adeptly maneuver through the complexities of the financial environment. By harnessing our expertise, organizations not only improve their operational efficiency but also strengthen their compliance frameworks, ultimately leading to more resilient business practices.

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

Kingland

Company Location

United States

Company Website

www.kingland.com/industry-solutions

Company Facts

Organization Name

GAMS

Date Founded

1987

Company Location

United States

Company Website

www.gams.com

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

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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