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What is Yields.io?

Boost the efficiency of your model lifecycle with assurance by leveraging our AI-driven model risk management solution, the Chiron MRM Platform, which streamlines real-time model validation and monitoring. The model validation process is frequently laborious and costly; however, our enterprise risk management offerings enable clients to reduce validation expenses by as much as ten times. Chiron’s state-of-the-art monitoring capabilities allow for the early detection of potential model failures, aiding in the creation of more effective models while also lowering capital requirements. To establish trust in your models for decision-making, it is crucial to maintain a transparent and auditable view of the models used within your organization. The Chiron Enterprise includes a customized model inventory that monitors each model throughout its lifecycle, in addition to a dynamic workflow engine aimed at enhancing efficiency. By expanding your model risk operations, you can implement organized and uniform workflows across your teams, which leads to improved results for your organization. Furthermore, this all-encompassing strategy fosters a culture of accountability and ongoing enhancement in model management, ensuring that your organization remains at the forefront of industry standards. Embracing this innovative approach not only optimizes operational efficiency but also bolsters your competitive edge in the market.

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.

Media

Media

Integrations Supported

Integrations Supported

MATLAB
Python
R
SAS Analytics Pro

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Yields.io

Date Founded

2017

Company Location

Belgium

Company Website

www.yields.io

Company Facts

Organization Name

MathWorks

Company Location

United States

Company Website

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

Categories and Features

Model Risk Management

Not specified

Risk Management

Not specified

Categories and Features

Financial Modeling

Not specified

Model Risk Management

Not specified

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