List of Hyperexponential HX Pricing Customers
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United Kingdom
Since 2010, our global team of researchers has been studying Hyperexponential HX Pricing customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Hyperexponential HX Pricing 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 Hyperexponential HX Pricing for Insurance Pricing and Rating Engine include: Antares Syndicate 1274, a United Kingdom based Insurance organisation with 100 employees and revenues of $168.0 million, Argenta Syndicate Management, a United Kingdom based Insurance organisation with 140 employees and revenues of $133.0 million, Apollo Group, a United Kingdom based Insurance organisation with 300 employees and revenues of $40.0 million and many others.
Contact us if you need a completed and verified list of companies using Hyperexponential HX Pricing, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Antares Syndicate 1274 | Insurance | 100 | $168M | United Kingdom | Hyperexponential | Hyperexponential HX Pricing | Insurance Pricing and Rating Engine | 2020 | n/a |
In 2020 Antares Syndicate 1274 implemented Hyperexponential HX Pricing, a cloud-accessible Insurance Pricing and Rating Engine to accelerate model development and distribution. The engagement targeted pricing and actuarial business functions, with a clear objective to gain faster model adjustment cycles and more secure roll-out mechanisms than spreadsheet-based workflows.
Hyperexponential HX Pricing was configured to provide in-platform model authoring and controlled model roll-out, allowing Antares teams to quickly adjust and refine pricing models themselves without resorting to Excel. The deployment emphasized browser access to pricing models, shifting distribution away from email and shared file links toward a centralized application interface, and preserving model integrity through version control and managed change processes.
The implementation integrated with Microsoft Active Directory to enforce role-based access and ensure that the right users receive the appropriate model artifacts, protecting Antares intellectual property through robust access controls. Operational coverage centered on pricing model owners and underwriting stakeholders, and rollout practices were updated so models are provisioned and accessed via the Hyperexponential HX Pricing platform rather than distributed as standalone spreadsheets, delivering the stated outcome of greater agility in model adjustment and roll-out.
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Apollo Group | Insurance | 300 | $40M | United Kingdom | Hyperexponential | Hyperexponential HX Pricing | Insurance Pricing and Rating Engine | 2022 | n/a |
In 2022 Apollo Group implemented Hyperexponential HX Pricing as its Insurance Pricing and Rating Engine. The deployment targeted pricing and rating capabilities for Apollo Group's United Kingdom portfolio, supporting actuarial and underwriting pricing workflows for a mid market insurer of roughly 300 employees.
Hyperexponential HX Pricing was configured to deliver core actuarial functionality typical of an Insurance Pricing and Rating Engine, including rating algorithm configuration, tariff and rule management, scenario testing, model version control, and automated pricing workflows. The implementation emphasized parameterized rating logic and reusable pricing templates to standardize quote calculations and support iterative model updates by the actuarial team.
Integrations were established with underwriting and policy administration workflows and with quoting processes through conventional API and data feed patterns to enable real time rate lookup and price orchestration. Governance was centered in the actuarial function with formal model versioning, pricing change approval workflows, and staged rollout across product teams within the UK market. Hyperexponential HX Pricing is listed as a customer implementation on the vendor site.
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Argenta Syndicate Management | Insurance | 140 | $133M | United Kingdom | Hyperexponential | Hyperexponential HX Pricing | Insurance Pricing and Rating Engine | 2022 | n/a |
In 2022, Argenta Syndicate Management implemented Hyperexponential HX Pricing as its Insurance Pricing and Rating Engine to centralize pricing and rating workflows within underwriting. The deployment focused on pricing model configuration, rating logic and pricing orchestration modules to support new business, renewals and endorsements across commercial and specialty lines. Hyperexponential HX Pricing was configured to operationalize actuarial models and rule based rating, provide scenario based rate modelling, and surface programmatic pricing outputs to downstream underwriting systems.
HX Pricing is explicitly earmarked for integration with Argenta's Send Underwriting Workbench rollout, enabling price callouts from the underwriting interface and feeding enriched pricing data into submission lifecycle management, compliance checks and MI reporting. Integration planning includes pricing connectivity, data enrichment and sanctions screening as part of a broader effort to unify data and decisioning across Casualty, Marine & Energy, Property and Specialty business lines. Governance work prioritized model version control, approval workflows and alignment between pricing change processes and underwriting signoff to maintain consistent rating across teams.
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