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What is Sora?

Sora’s cutting-edge AI-powered debt management tool allows financial advisors to effortlessly impress their clients and secure proposals with ease. It facilitates a rapid evaluation of clients' debts, refinancing opportunities, potential new loans, and overall credit status. Advisors can download reports to foster engaging conversations regarding their clients' debt situations. The platform provides highly personalized strategies for optimizing debt that cater to individual circumstances. When seeking a new loan, Sora seamlessly connects with more than 50 wholesale, retail, and credit union lenders to identify the best available options. By managing the complex processes involved, Sora enables both advisors and their clients to concentrate on what truly matters. The software is particularly adept at revealing exceptional deals across a variety of loan types, such as home, auto, and student loans, ensuring a smooth transition for clients. Designed with user experience in mind, Sora empowers advisors to visualize, analyze, and implement actionable steps to enhance their clients' debt situations. With sophisticated analytics and tailored recommendations, financial advisors can develop strategic plans that address each client's unique needs. By examining the complexities of their clients' debt landscapes, recognizing potential savings, and executing an optimized management plan, advisors can significantly elevate the quality and effectiveness of their financial advisory services. Ultimately, this innovative tool transforms the way advisors approach debt management, making it more efficient and client-focused than ever before.

What is Modeller?

In the current era of machine learning, software designed for model development leverages over three decades of expertise in credit risk modeling. Modeller stands out as a versatile, clear, and interactive tool that empowers organizations to maximize the potential of their analytical teams. It provides a wide range of methodologies, facilitates the swift creation of robust models, ensures comprehensive explanations, and nurtures the growth of junior team members. Users can select from diverse modeling approaches, including machine learning, to attain the highest levels of predictive precision, particularly when dealing with intricate relationships and multicollinearity. With a simple click, one can generate standard industry binary and continuous target models. The software supports decision tree modeling through CHAID trees and CART methods, along with options like logistic regression, elastic net models, survival analysis (Cox PH), random forest, XGBoost, and stochastic gradient descent. Furthermore, it offers export capabilities to SAS, SQL, and PMML, enabling seamless integration with other scoring and decision-making applications. This flexibility ensures that organizations can easily adapt the models to fit their specific operational contexts and requirements.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

$100 per advisor per month
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

Sora

Company Location

United States

Company Website

www.sorafinance.com

Company Facts

Organization Name

Paragon Business Solutions

Date Founded

1991

Company Location

United Kingdom

Company Website

www.credit-scoring.co.uk/modeller

Categories and Features

Categories and Features

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