List of In-House Insurance Pricing and Rating Engine Customers
APPS RUN THE WORLD
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Since 2010, our global team of researchers has been studying In-House Insurance Pricing and Rating Engine 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 In-House Insurance Pricing and Rating Engine 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 for Insurance Pricing and Rating Engine include: Nationale-Nederlanden, a Netherlands based Insurance organisation with 15000 employees and revenues of $16.89 billion, Renaissancere Syndicate Management, a United Kingdom based Insurance organisation with 1040 employees and revenues of $12.78 billion, HUK-Coburg, a Germany based Insurance organisation with 10000 employees and revenues of $12.58 billion, Swiss Life France, a France based Insurance organisation with 3000 employees and revenues of $9.90 billion, AG Insurance, a Belgium based Insurance organisation with 4000 employees and revenues of $8.57 billion and many others.
Contact us if you need a completed and verified list of companies using In-House Insurance Pricing and Rating Engine, 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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Achmea Schadeverzekeringen | Insurance | 350 | $447M | Netherlands | In-House Applications | In-House Insurance Pricing and Rating Engine | Insurance Pricing and Rating Engine | 2021 | n/a |
In 2021, Achmea Schadeverzekeringen deployed an In-House Insurance Pricing and Rating Engine to centralize pricing logic for a subset of its product portfolio. The new architecture incorporates Faktor-IPS as the calculation engine for some insurance products, and Faktor-IPS was integrated successfully with SAP FS-PM policy administration system to enable runtime pricing evaluations.
The In-House Insurance Pricing and Rating Engine implementation focused on standard category capabilities including rule-based tariff management, real-time rating calculation, product configuration, and versioned pricing tables to support quote generation and premium calculation. Configuration work concentrated on mapping product parameters to Faktor-IPS calculation modules and exposing pricing services as callable components within Achmea Schadeverzekeringen workflows.
Integration work tied Faktor-IPS calculation calls into SAP FS-PM policy lifecycle events so pricing and rating occur during quotation and policy issuance flows. Operational coverage targeted the insurer's Dutch product lines where Faktor-IPS handles core premium mathematics while SAP FS-PM retains policy administration responsibilities.
Governance emphasis aligned calculation rule ownership with pricing teams and segregated responsibilities between the pricing engine and policy administration to reduce duplication of business logic. Interface governance and testing pipelines were instituted to validate pricing accuracy and ensure consistent rule rollout across product configurations.
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AG Insurance | Insurance | 4000 | $8.6B | Belgium | In-House Applications | In-House Insurance Pricing and Rating Engine | Insurance Pricing and Rating Engine | 2017 | n/a |
In 2017, AG Insurance implemented an In-House Insurance Pricing and Rating Engine. The In-House Insurance Pricing and Rating Engine is classified as Insurance Pricing and Rating Engine and was developed to modelise an internal Mortgage Loan Pricing Model for AG Insurance Belgium, aligning pricing calculation with product and actuarial requirements.
The implementation delivered a parameterized model library, rule-based tariff and rate tables, scenario and sensitivity modeling capabilities, and a calculation service for quote pricing and rate generation. Configuration emphasized model governance, version control, and an actuarial validation workflow to support model parameter changes and periodic recalibration, enabling iterative updates by internal teams.
Operational ownership rested with actuarial and product governance, with structured change approval and release processes to control parameter updates and pricing rules. Rollout was staged to embed new pricing workflows into underwriting, product management, and distribution operations within Belgium, accompanied by documentation and team-level training to sustain ongoing model maintenance.
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AKAD Seguros (Former Argo) | Insurance | 350 | $100M | Brazil | In-House Applications | In-House Insurance Pricing and Rating Engine | Insurance Pricing and Rating Engine | 2012 | Trinca |
In 2012, AKAD Seguros, formerly Argo Seguros, implemented an In-House Insurance Pricing and Rating Engine in the Insurance Pricing and Rating Engine category to address a slow, bureaucratic onboarding and purchasing journey for brokers and clients. The initiative was driven by a mandate to drastically reduce quoting and purchasing times while preserving security and operational quality. The project started as a targeted effort to convert a specific product offer into a seamless digital experience that could support faster distribution and sales workflows.
The implementation focused on a configurable pricing and rating core, automated quoting workflows, policy product configuration, and a broker-facing quotation interface. The In-House Insurance Pricing and Rating Engine was configured to centralize rate tables, apply rule-based rating logic, and automate document and quote generation to eliminate manual handoffs. The architecture emphasized modularity and an API-aware service layer to enable digital front ends and internal automation to operate off the same pricing logic.
Trinca was engaged as the implementation partner and acted as a strategic extension of AKAD across product vision, technology, and design. The rollout began with a single product conversion and expanded over time into a broader digital operation, with ongoing iterations over more than a decade. Operational scope extended across broker channels and client onboarding processes, impacting sales distribution, quoting, and underwriting intake workflows.
The explicit outcome of the program was a reduction in quoting times from about two weeks to five minutes, which materially reduced sales friction and supported a repositioning of the insurer in the market. Over the subsequent years Trinca and AKAD continued to evolve the platform into a complete digital operation, combining continuous product, technology, and design work to sustain growth and scale automated pricing and rating capabilities.
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AmTrust Financial Services | Insurance | 9300 | $5.8B | United States | In-House Applications | In-House Insurance Pricing and Rating Engine | Insurance Pricing and Rating Engine | 2021 | n/a |
In 2021, AmTrust Financial Services implemented an In-House Insurance Pricing and Rating Engine, categorized as Insurance Pricing and Rating Engine. The project targeted reduction of the software development queue and aimed to improve application development efficiency while preserving security and regulatory compliance across product pricing activities. The implementation prioritized rapid prototyping and close collaboration with business partners using Agile development practices to shorten delivery cycles without compromising quality.
The In-House Insurance Pricing and Rating Engine was configured with industry-aligned functional modules including configurable rating logic, rule authoring and version control, rate table management, and automated testing and deployment workflows to support iterative releases. The architecture emphasized modular business logic separation and runtime consistency for rating calculations and underwriting rules, enabling the engine to apply standardized pricing logic across product variants. Developer-facing extensibility was a design focus so that traditional development practices could be augmented and integrated into the new pricing workflow.
Operational coverage concentrated on actuarial and underwriting business functions, pricing teams, and product managers, enabling these groups to prototype rates and rules with faster feedback loops from stakeholders. The implementation supported business process orchestration for pricing governance, including versioning and auditability of rate changes to meet regulatory scrutiny. Control mechanisms and approval workflows were instituted to align rate change processes with compliance requirements and internal governance.
During vendor evaluation AmTrust reviewed established platforms and analyst research, and leaders noted that OutSystems offered a developer-friendly model and extensive customization options that eased adoption by traditional developers. Voytek Janisz Senior Vice-President of IT at AmTrust stated that platform structure and customization capabilities were decisive, and AmTrust became an OutSystems customer in March 2022. Governance for the pricing engine emphasized Agile release cadence, security review gates, and cross-functional collaboration between IT and business owners to maintain compliance while accelerating delivery.
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Applied Underwriters | Insurance | 1000 | $750M | United States | In-House Applications | In-House Insurance Pricing and Rating Engine | Insurance Pricing and Rating Engine | 2020 | n/a |
In 2020, Applied Underwriters implemented an In-House Insurance Pricing and Rating Engine in the Insurance Pricing and Rating Engine category. The In-House Insurance Pricing and Rating Engine was developed internally and positioned as a proprietary analytic core that leverages decades of predictive analytics and patented underwriting methods maintained by the company.
The implementation centers on modular rating and pricing capabilities typical for Insurance Pricing and Rating Engine deployments, including a rules-driven rating library, actuarial model execution, scenario and exposure aggregation, rate table management, and decision support for underwriters. Model governance and version control were embedded to manage predictive models and pricing logic, enabling repeatable pricing workflows and controlled model refresh cycles.
Operationally the engine supports casualty, accident, and life underwriting functions and serves as the analytical foundation for Applied Underwriters’ MGA initiatives. The platform is described as feeding the Innovation Risk MGA platform announced in 2025, and the company reports that work over the prior five years expanded analytics inputs to include biotech and telephony data research that enriches the engine’s risk measurement capabilities.
Governance is organized around proprietary and patented underwriting methods that have produced superior underwriting operations and profitable competitive advantages according to company statements. Applied Underwriters positions the In-House Insurance Pricing and Rating Engine as a strategic asset that underpins new MGAs, attracts underwriting and technology talent, and supports planned initial deployments for Innovation Risk in the US and EU.
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Insurance | 800 | $310M | United States | In-House Applications | In-House Insurance Pricing and Rating Engine | Insurance Pricing and Rating Engine | 2016 | n/a |
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Insurance | 1300 | $550M | France | In-House Applications | In-House Insurance Pricing and Rating Engine | Insurance Pricing and Rating Engine | 2016 | n/a |
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Insurance | 200 | $50M | Switzerland | In-House Applications | In-House Insurance Pricing and Rating Engine | Insurance Pricing and Rating Engine | 2020 | n/a |
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Insurance | 158 | $275M | United States | In-House Applications | In-House Insurance Pricing and Rating Engine | Insurance Pricing and Rating Engine | 2015 | n/a |
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Insurance | 85 | $31M | United Kingdom | In-House Applications | In-House Insurance Pricing and Rating Engine | Insurance Pricing and Rating Engine | 2020 | n/a |
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Buyer Intent: Companies Evaluating In-House Insurance Pricing and Rating Engine
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FAQ - APPS RUN THE WORLD In-House Insurance Pricing and Rating Engine Coverage
In-House Insurance Pricing and Rating Engine is a Insurance Pricing and Rating Engine solution from In-House Applications.
Companies worldwide use In-House Insurance Pricing and Rating Engine, from small firms to large enterprises across 21+ industries.
Organizations such as Nationale-Nederlanden, Renaissancere Syndicate Management, HUK-Coburg, Swiss Life France and AG Insurance are recorded users of
In-House Insurance Pricing and Rating Engine for Insurance Pricing and Rating Engine.
Companies using In-House Insurance Pricing and Rating Engine are most concentrated in Insurance, with adoption spanning over 21 industries.
Companies using In-House Insurance Pricing and Rating Engine are most concentrated in Netherlands, United Kingdom and Germany, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of In-House Insurance Pricing and Rating Engine across Americas, EMEA, and APAC.
Companies using In-House Insurance Pricing and Rating Engine range from small businesses with 0-100 employees - 19.51%, to mid-sized firms with 101-1,000 employees - 53.66%, large organizations with 1,001-10,000 employees - 24.39%, and global enterprises with 10,000+ employees - 2.44%.
Customers of In-House Insurance Pricing and Rating Engine include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified In-House Insurance Pricing and Rating Engine customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Insurance Pricing and Rating Engine.