Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
AGENARISK leverages cutting-edge advancements in Bayesian artificial intelligence and probabilistic reasoning to address intricate, high-stakes challenges and enhance decision-making processes. By utilizing AgenaRisk models, users can forecast outcomes, conduct diagnostics, and make informed decisions by integrating data and insights regarding complex causal relationships and dependencies present in the real world. Our clientele employs AgenaRisk to tackle a wide range of issues associated with risk and uncertainty, such as operational risk, actuarial studies, intelligence analysis, system safety and reliability, health-related risks, cybersecurity threats, and strategic financial planning. AgenaRisk is committed to designing and promoting innovative products that utilize Bayesian Network technology. The effectiveness of our technology and methodology has been recognized and published in leading academic journals spanning AI, machine learning, actuarial science, decision science, and cognitive science. As we continue to evolve, we aim to remain at the forefront of risk modeling and decision-making solutions, directly impacting various industries.
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
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
Agena
Website
www.agenarisk.com
Vendor Details
Company Name
Scienaptic AI
Founded
2014
Country
United States
Website
www.scienaptic.ai/
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
Fraud Detection
Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval
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