List of In-House Insurance Pricing and Rating Engine built on Unqork Customers
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United States
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Each quarter our research team identifies companies that have purchased In-House Insurance Pricing and Rating Engine built on Unqork for Insurance Pricing and Rating Engine from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using In-House Insurance Pricing and Rating Engine built on Unqork for Insurance Pricing and Rating Engine include: National General, an Allstate company, a United States based Insurance organisation with 9000 employees and revenues of $5.50 billion, American Coastal Insurance Company, a United States based Insurance organisation with 65 employees and revenues of $335.0 million and many others.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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American Coastal Insurance Company | Insurance | 65 | $335M | United States | In-House Applications | In-House Insurance Pricing and Rating Engine built on Unqork | Insurance Pricing and Rating Engine | 2023 | n/a |
In 2023, American Coastal Insurance Company implemented an In-House Insurance Pricing and Rating Engine built on Unqork, establishing a centralized pricing capability aligned to the Insurance Pricing and Rating Engine category. The deployment created a core pricing and rating surface that underpins quoting activities and product configuration across the organization.
The In-House Insurance Pricing and Rating Engine built on Unqork was configured to support quoting, policy issuance, post-issuance transactions, installment scheduling, invoicing, refunds, agency and user setup, role specific privileges, and task management. Functional configuration emphasizes parameterized rate tables and rule driven pricing logic, with the rating engine embedded within the broader Unqork application workflow to drive consistent premium calculations and quote issuance.
Architecturally the solution leverages the Unqork no-code platform as the application surface, with modular rating components and centralized configuration stores for rates and business rules. The design concentrates pricing logic inside the Unqork environment to enable rapid adjustments to rating criteria and to standardize pricing workflows across quoting, billing, and agency management modules.
Governance and rollout were organized under a directed business analysis effort, with the Director of Business Analysis at American Coastal Insurance Corporation leading policy, billing and agency management implementation activities from January 2024 through September 2024 in St. Petersburg, Florida. Access control, role specific privileges, and agency setup were implemented as core governance mechanisms to enforce workflow segregation and operational controls across underwriting, policy administration, billing, and distribution functions.
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National General, an Allstate company | Insurance | 9000 | $5.5B | United States | In-House Applications | In-House Insurance Pricing and Rating Engine built on Unqork | Insurance Pricing and Rating Engine | 2013 | n/a |
In 2013, National General, an Allstate company, implemented an In-House Insurance Pricing and Rating Engine built on Unqork. The In-House Insurance Pricing and Rating Engine built on Unqork functions as an Insurance Pricing and Rating Engine to operationalize underwriting, pricing and actuarial decisioning across product lines.
The implementation centralizes core pricing modules and decision logic, including granular segmentation at level 5, supplemental risk adjustments, improved credit modeling, lifetime value modeling, elasticity modeling and optimized pricing strategies drawn from the firm’s RAD 5.0 underwriting pricing capabilities. Configuration leverages Unqork’s form and rules framework to encode rate tables, actuarial rate level indications, and business rules for underwriting tolerances, enabling nontechnical product and underwriting staff to adjust parameters without code changes.
Integrations and data flows connect the pricing engine to the company’s policy administration system, actuarial loss tables and the predictive analytics pipelines developed by the analytics team, enabling automated rate lookups and risk scoring during quote and bind processes. The application is used operationally by product, underwriting, analytics and actuarial teams to determine prices at a detailed risk level and to feed rate indications back to actuarial for tracking accident year results and territory-specific rate needs.
Governance follows the established underwriting and actuarial processes, with the actuarial group responsible for establishing rate level needs and indications, product teams managing underwriting tolerances, and collaborative workflows that route pricing changes for actuarial review before production. National General positions the In-House Insurance Pricing and Rating Engine built on Unqork as a competitive tool, citing RAD 5.0 capabilities and integrated predictive modeling as advantages for more precise risk matching and ongoing pricing refinement.
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