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Description
Data and analytics serve as the foundation for solutions powered by Earnix. We utilize top-tier data science, advanced analytical modeling tools, optimization techniques, and machine learning to provide the most competitively priced and personalized financial products to each customer consistently. Our approach facilitates the creation and integration of both traditional GLM/GAM and machine learning models, ensuring these models are effectively utilized for pricing, rating, and personalization strategies. To achieve this, we have crafted a Hybrid Model that combines the predictive strengths of machine learning with the causal insights offered by classical statistical approaches. The Earnix platform features a comprehensive range of optimization algorithms designed to accommodate diverse pricing and rating structures, regulatory and business needs, as well as varying market conditions. These algorithms are capable of addressing intricate challenges, including portfolio optimization, lifetime value analysis, multi-product strategies, ranking, and customer-centric optimization dilemmas, providing a robust solution for financial institutions aiming to enhance their services.
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
Earnix
Country
United States
Website
earnix.com/analytics/in-action/
Vendor Details
Company Name
causaLens
Country
United Kingdom
Website
www.causalens.com/causal-decision-making-ai-platform/
Product Features
Insurance Underwriting and Rating
Broker / Agent Portal
Carrier Upload
Commercial Lines
Comparative Insurance Rating
Customer Portal
For Casualty Insurance
For Health / Medical Insurance
For Life Insurance
For Personal Insurance
Multi-State
Multiple Line Rating
Mortgage and Loans
Amortization Schedule
Client Database
Closing Documents
Commercial Mortgages
Contact Management
Credit Reporting
Customer Statements
Document Management
Electronic Applications
Government Loans
Loan Origination
Loan Servicing
Pipeline Management
Pre-Qualification
Refinance Management
Residential Mortgages
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
