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What is Katabat?

Our collections software is distinguished in the industry as the most cutting-edge solution, utilizing authentic machine learning to enable clients to optimize their collections, minimize costs, and strengthen customer relationships. For over 14 years, it has been the go-to choice for leading lenders and agencies, being the only completely digital, omni-channel option on the market. This secure and compliant cloud-based platform guarantees that messages are delivered to the right borrowers through the most efficient channels, all while maintaining low expenses and enhancing the customer experience. Equipped with an advanced strategy engine that combines powerful decision trees with workflow capabilities, our software allows you to foster unique and captivating customer interactions that lead to improved collection results. In addition, our award-winning technology is designed to adapt and improve through real-world use, offering a seamless and efficient end-to-end experience for both customers and agents, which ultimately increases the total amount collected while nurturing stronger connections. This relentless focus on innovation and operational efficiency ensures that our clients remain at the forefront of the competitive collections sector, paving the way for ongoing success and growth. As we continue to develop and refine our offerings, we are committed to providing unparalleled support and results for our valued partners.

What is Debt$Net?

Debt$Net®, created by The Computer Manager, Inc., stands out as one of the most comprehensive systems for debt collection, designed for various users including collection agencies, law firms, debt buyers, and internal collection departments. With a solid history, Debt$Net® has successfully addressed the debt recovery requirements of over 1,000 businesses across a wide range of industries, such as Retail, Commercial, Medical, Receivables Management, and Check Collections. Its user base spans North America, encompassing both the United States and Canada. Founded in 1987 by Tony LaMagna and Gary Grout, the company has continuously provided its flagship product, Debt$Net®, along with a suite of additional software modules, training programs, custom programming, and comprehensive technical support. The latest enhancement to their offerings, Debt$Net® Prestige, builds on the award-winning software for collection agencies by integrating the powerful SQL Server from Microsoft, thereby augmenting the software's functionality. Through ongoing innovations and updates, Debt$Net® exemplifies a steadfast dedication to propelling the debt collection sector forward, ensuring that it meets the evolving needs of its clients. This commitment to improvement solidifies Debt$Net®'s position as a leader in the industry.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$195 per month
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

Katabat

Date Founded

2005

Company Location

United States

Company Website

katabat.com

Company Facts

Organization Name

The Computer Manager

Date Founded

1987

Company Location

United States

Company Website

www.debtnet5.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)

Debt Collection

Agency Management
Auto Dialer
Automated Notices
Callback Scheduling
Client Management
Commission Management
Compliance Management
Contact Management
Credit Bureau Reporting
In-House Collections
Payment Plans
Transaction Management

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Categories and Features

Debt Collection

Agency Management
Auto Dialer
Automated Notices
Callback Scheduling
Client Management
Commission Management
Compliance Management
Contact Management
Credit Bureau Reporting
In-House Collections
Payment Plans
Transaction Management

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