Why Citytwig
Discover the competitive advantages that make Citytwig the leading choice for intelligent insurance data solutions and generative AI-powered automation.
What Sets Us Apart
Citytwig merges AI excellence with insurance knowledge to deliver Hulii's unmatched value. Here are the models that power it.
Recruiting Model
Is a recommendation model that analyzes potential new agents based upon the perspective agent, traits, characteristics, geography, background, education, work experience, products, and industry vertical.
Product Recommendation Model
Intelligent planning of insurance coverage based on lifestyle, characteristics and traits, family, employment, geography, and educational background. Multiple products based upon coverage requirements, cost, (highest to lowest) for X amount of years.
Business Recommendation Model
Intelligently analyzes and recommends the right business in the correct vertical and geography, based on the agent's book of business, characteristics and traits, skills, education background, years in business and experience.
Cross-Selling Model
Analyzes agent's or associate's current book of business and makes recommendations for selling additional complimentary carrier products. The model tracks and understands what available products have been sold and suggests additional products. The model utilizes insights from Citytwig's contributory databases.
Inactive Accounts Model
Analyzes books of business within the carrier that own products but do not have a sales representative or agent. The model extracts all inactive accounts within the organization and reassigns the inactive accounts to the right agent or associate, in the right vertical or industry in the correct geography.
New Recruit Book of Business Model
Utilizes the New Recruit information when the agent/associate is hired to provide a list of specific targeted businesses along with a subset of Inactive Accounts.
Book of Business Comparative Analysis Model
Compares book of businesses, business level statistics, premium statistics, agent statistics, existing business and vertical statistics, performance data, vertical growth, and potential new markets.
Public Sector/Variable Business Recommendation Model
Intelligently recommends public sector accounts based upon the carrier's current public sector books of business. The model identifies the most profitable government agencies for carriers to focus their agents/associates based on premiums, size of the organization, union representatives and geography.
Customer Retention Model
Analyzes current books of business and past books of business that utilized a company subsidy to secure a new public sector account analyzing the amount of past and future premiums and suggests if a subsidy is warranted.
Auto-Property Casualty Model
Identifies specific driver and insured characteristics in the commercial vehicle insurance sector.