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Description
Our platform offers ready-to-use APIs that integrate both conventional and alternative credit data sources, facilitating quicker data ingestion for more accurate credit assessments. It features a robust predictor library built on extensive credit expertise, along with pre-configured attributes that enhance credit decision-making. Our proprietary AI and ML credit modeling approach is fully explainable and yields substantial improvement in outcomes. Users can simultaneously run multiple champion-challenger models, allowing for comparative analysis of credit strategies within a single streamlined workflow. Deployment of new credit models and strategies is swift and efficient. Our AI-driven credit underwriting models are not only explainable and FCRA-compliant but also designed to be highly reliable. They include automated and simplified reasoning for adverse actions, ensuring transparency. Comprehensive documentation is provided, detailing the logic behind the models, their robustness, and any limitations. The attributes of our models are subjected to rigorous disparate impact assessments to confirm the absence of bias in their design. Furthermore, our AI credit models offer a wide and varied range of reasons for adverse actions, ensuring that users have a comprehensive understanding of the decision-making process and its implications. Overall, this combination of features empowers organizations to make informed and equitable credit decisions.
Description
We facilitate the digital evolution of the credit insurance and surety sectors. For over two decades, Tinubu® Square has pioneered an advanced SaaS platform that offers revolutionary, cloud-based software solutions. The Tinubu® Square SaaS cloud platform propels business growth through offerings like Tinubu® CIS, which addresses short-term, medium-term, and political risk in credit insurance, alongside Tinubu® eSURETY® and Tinubu® SurePath Digital for surety services. This platform has been refined over the past 20 years, providing a cutting-edge, fully scalable solution tailored to the needs of insurers. It incorporates essential features such as precise aggregation functionalities, efficient document management, and effective delegation of authority. Moreover, the integration of blockchain technology connects diverse ecosystem participants, fostering trust between them and enabling automated contract management. In addition, AI algorithms enhance the credit scoring and pricing capabilities for trade credit and surety insurers, significantly improving their operational efficiency. This continuous innovation ensures that Tinubu® Square remains at the forefront of the industry.
API Access
Has API
API Access
Has API
Integrations
Plaid
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Scienaptic AI
Founded
2014
Country
United States
Website
www.scienaptic.ai/
Vendor Details
Company Name
Tinubu Square
Country
United States
Website
www.tinubu.com
Product Features
Financial Risk Management
Compliance Management
Credit Risk Management
For Hedge Funds
Liquidity Analysis
Loan Portfolio Management
Market Risk Management
Operational Risk Management
Portfolio Management
Portfolio Modeling
Risk Analytics Benchmarks
Stress Tests
Value At Risk Calculation
Product Features
Financial Risk Management
Compliance Management
Credit Risk Management
For Hedge Funds
Liquidity Analysis
Loan Portfolio Management
Market Risk Management
Operational Risk Management
Portfolio Management
Portfolio Modeling
Risk Analytics Benchmarks
Stress Tests
Value At Risk Calculation