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Description
FairPlay introduces the pioneering Fairness-as-a-Service™ solution tailored for the financial sector. Utilizing advanced AI tools, we evaluate your automated decision-making models within minutes to enhance both equity and profitability. Our resources include five comprehensive Fact Sheets that explore the mortgage fairness landscape for female, black, Hispanic, millennial, and baby boomer applicants. To create these insights, FairPlay™ meticulously examined publicly available data from the Home Mortgage Disclosure Act Database for the year 2020. Our analysis focused exclusively on individuals applying to purchase new homes, excluding those seeking refinancing or lines of credit. We calculated the Adverse Impact Ratio (AIR) for every county across the U.S. and extended our assessment to encompass AIR values for 20 prominent metropolitan areas. FairPlay™ highlights inconsistencies in your decision-making systems, offering strategies to boost both profitability and fairness, thereby demonstrating to customers, regulators, and the wider community your commitment to equitable practices. Our approach not only aligns with regulatory standards but also builds trust within the communities you serve.
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.
API Access
Has API
API Access
Has API
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
Fairplay
Country
United States
Website
fairplay.ai/
Vendor Details
Company Name
Scienaptic AI
Founded
2014
Country
United States
Website
www.scienaptic.ai/
Product Features
Loan Origination
Amortization Schedule
Audit Trail
Closing Documents
Compliance Management
Customer Database
Digital Signature
Document Management
Fee Management
Loan Processing
Online Application
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