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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
A no-code AI platform designed for enterprises transforms raw data into enhanced business insights. In the pursuit of valuable information within extensive data lakes, misleading correlations can contaminate findings, resulting in unreliable signals for organizations. CausaLake smartly identifies the most relevant data tailored to specific use cases, standing out as the sole technology capable of delving beyond correlated indicators in comparable datasets to pinpoint causal factors. Causal AI models illustrate the workings of various systems, encompassing economies, businesses, and biological entities. They offer a high level of trust and transparency, merging the strengths of human expertise with artificial intelligence. CausaLab represents the pinnacle of causal model discovery technology. The essence of AI transcends mere future predictions; it aims to actively influence outcomes. For AI to facilitate high-quality decision-making, it must grasp the human context alongside the goals and limitations of organizations. To address this challenge, we introduced decisionOS, which effectively connects predictions with actionable decisions, empowering organizations to optimize their strategies.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
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
causaLens
Country
United Kingdom
Website
www.causalens.com/causal-decision-making-ai-platform/
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
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)
Decision Support
Application Development
Budgeting & Forecasting
Data Analysis
Decision Tree Analysis
Monte Carlo Simulation
Performance Metrics
Rules-Based Workflow
Sensitivity Analysis
Thematic Mapping
Version Control