Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
How can a business manage an account with a 20% fee while still achieving profitability? Many of these obstacles can be tackled with current technologies, particularly through the use of artificial intelligence and expert systems. "Expert systems" refer to software that simulates the decision-making abilities of a human specialist. The term artificial intelligence was coined to set it apart from "human intelligence," which, despite its remarkable capabilities, is prone to flaws such as memory lapses, inconsistencies, fatigue, and the necessity for breaks. In 1990, Quantrax Corporation made a groundbreaking proposal that led to the creation of a system rooted in artificial intelligence, ultimately transforming the software industry. To fully grasp the significance of this product and its development, it is essential to recognize the distinction between traditional data-centric systems and expert systems, also known as knowledge-based systems. While data-based systems involve computer programs that process data to generate outcomes, expert systems utilize a repository of knowledge to make informed decisions that can lead to better results. This shift towards intelligence-driven software marks a pivotal advancement in how we approach problem-solving in various industries.
Description
RelationalAI represents a cutting-edge database system tailored for advanced data applications that leverage relational knowledge graphs. By focusing on data-centric application design, it effectively merges data with logic into modular models. These intelligent applications possess the capability to comprehend and utilize every relationship present within a model. The system employs a knowledge graph framework that allows for the articulation of knowledge in the form of executable models. These models offer the benefit of being easily expanded through declarative programs that are accessible and understandable to humans. With RelationalAI's versatile and expressive declarative language, developers can achieve a remarkable reduction in code size, ranging from 10 to 100 times less. This accelerates the development of applications and enhances their quality by involving non-technical users in the creation process while automating complex programming tasks. By leveraging the adaptable graph data model, users can build a robust data-centric architecture. Additionally, the integration of models paves the way for the exploration of new relationships, effectively dismantling barriers that exist between various applications. Ultimately, this innovative approach not only streamlines development but also fosters collaboration across different domains.
API Access
Has API
No
API Access
Has API
No
Integrations
Solutions by Text
No
Pricing Details
$2500.00/one-time/user
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Quantrax
Founded
1988
Country
United States
Website
www.quantrax.com
Vendor Details
Company Name
RelationalAI
Country
United States
Website
relational.ai/
Product Features
Debt Collection
Agency Management
Yes
Auto Dialer
Yes
Automated Notices
Yes
Callback Scheduling
Yes
Client Management
Yes
Commission Management
Yes
Compliance Management
Yes
Contact Management
Yes
Credit Bureau Reporting
Yes
In-House Collections
Yes
Payment Plans
Yes
Transaction Management
Yes
Product Features
Relational Database
ACID Compliance
No
Data Failure Recovery
No
Multi-Platform
No
Referential Integrity
No
SQL DDL Support
No
SQL DML Support
No
System Catalog
No
Unicode Support
No