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What is Modelscape?

The Modelscape solution simplifies the entire lifecycle management of financial models for financial institutions, improving documentation, transparency, and adherence to compliance standards. By implementing this solution throughout the model lifecycle, users benefit from consistent workflows, automated documentation generation, and efficient artifact linking. This methodology not only allows for the scaling of algorithms, models, and applications in both horizontal and vertical dimensions but also accommodates a wide range of enterprise infrastructures and programming languages such as Python, R, SAS, and MATLAB. The solution ensures comprehensive tracking of issues during the model lifecycle through complete model lineage and extensive reporting on both issues and usage. An executive dashboard presents valuable insights into model data, supports the execution of custom algorithms, and provides automated workflows, all while offering web-based access to a detailed and auditable inventory of models and their interconnected dependencies. Users are empowered to create, back-test, and effectively document their models and methodologies, enhancing their operational processes. This solution not only boosts the transparency, reproducibility, and reusability of financial models but also automatically produces essential documentation and reports that assist in ongoing compliance efforts. Consequently, it enables financial institutions to uphold exceptional standards in model governance and achieve greater operational efficiency, ultimately leading to better decision-making and risk management across the organization.

What is Datatron?

Datatron offers a suite of tools and features designed from the ground up to facilitate the practical implementation of machine learning in production environments. Many teams discover that deploying models involves more complexity than simply executing manual tasks. With Datatron, you gain access to a unified platform that oversees all your machine learning, artificial intelligence, and data science models in a production setting. Our solution allows you to automate, optimize, and expedite the production of your machine learning models, ensuring they operate seamlessly and effectively. Data scientists can leverage various frameworks to develop optimal models, as we support any framework you choose to utilize, including TensorFlow, H2O, Scikit-Learn, and SAS. You can easily browse through models uploaded by your data scientists, all accessible from a centralized repository. Within just a few clicks, you can establish scalable model deployments, and you have the flexibility to deploy models using any programming language or framework of your choice. This capability enhances your model performance, leading to more informed and strategic decision-making. By streamlining the process of model deployment, Datatron empowers teams to focus on innovation and results.

Media

Media

Integrations Supported

MATLAB
Python
R
SAS Analytics Pro

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
H2O.ai
Hadoop
Microsoft Azure
MySQL
PostgreSQL
SAS Asset Performance Analytics
Salesforce
TensorFlow
Teradata VantageCloud
Wipro Promax

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

Windows
Mac
Linux

Supported Platforms

SaaS
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

MathWorks

Company Location

United States

Company Website

www.mathworks.com/solutions/finance-and-risk-management/modelscape.html

Company Facts

Organization Name

Datatron

Date Founded

2016

Company Location

United States

Company Website

www.datatron.com/platform/

Categories and Features

Financial Modeling

Not specified

Model Risk Management

Not specified

Categories and Features

AI Governance

Not specified

Machine Learning

Not specified

Model Risk Management

Not specified

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