AI Buyer Insights:

● Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

● Michelin, an e2open customer evaluated Oracle Transportation Management

● Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

● Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

● Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

● Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

● Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

● Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

● Michelin, an e2open customer evaluated Oracle Transportation Management

● Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

● Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

● Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

● Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

● Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

List of msg.PMQ Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
BarmeniaGothaer Insurance 8452 $10.6B Germany msg life msg.PMQ Insurance Pricing and Rating Engine 2017 n/a
In 2017 BarmeniaGothaer implemented msg.PMQ as its Insurance Pricing and Rating Engine. The deployment adopted a component-based, product-centric architecture aligned with the msg.Insurance Suite design, centralizing product definitions in a product management component that publishes product metadata to policy administration and point of service channels. Core functional modules implemented include centralized product modeling, pricing and rating services, configuration-driven product kits for modular cover composition, and automated quotation generation. The configuration model is designed so business users can model products and variants with minimal programming, enabling faster iteration on prices, cover modules and underwriting rules while preserving high technical coverage. Integrations and operational coverage emphasize runtime connectivity from the product management component to policy administration systems and distribution channels, with digital connectivity to brokers and comparison platforms using standardized BiPRO pricing and application submission services. Governance and rollout practices shift ownership toward product configuration and release-driven updates, supporting multi-channel distribution, staged pilots and regular release cycles while keeping the system extensible via open interfaces for third-party applications.
Concordia Versicherungen Insurance 1109 $289M Germany msg life msg.PMQ Insurance Pricing and Rating Engine 2022 n/a
In 2022 Concordia Versicherungen selected msg.PMQ as the product management component of the msg.Insurance Suite P&C, establishing msg.PMQ within a new composite application landscape intended for its property and casualty business. The decision initiated a greenfield AWL Composite program delivered as a cloud-native platform, with the msg.PMQ product server embedded as the Insurance Pricing and Rating Engine supporting product configuration, rating rules, and generation of product artifacts. The implementation delivered a suite of functional modules alongside msg.PMQ, including msg.Billing including intermediary current account, msg.Business Partner, msg.Workflow, msg.Digital Business Services, msg.GDPR, and msg.P&C Factory, with plans to open cross-functional components to the msg.Health Factory. Immediate claims settlement within a First Notice of Loss front end was implemented as a customer-facing workflow, while msg.PMQ served as the product configuration and product lifecycle hub to model and onboard existing product and contract data into the AWL Composite. Architecturally, the program was executed as a multi-release rollout across seven releases, built alongside Concordia’s existing environment to allow parallel operations during cutover. The platform exposes extensive API capabilities and integrates explicitly with Concordia systems such as SAP ICM and BSI CRM, and with new cross-functional services for input management, text and printing, archiving, and a new data warehouse, enabling cross-departmental use of partner, payments, and work management functions. Governance and delivery were organized around interdisciplinary teams from specialist departments and IT, with structured test management, early employee engagement, and collaborative vendor partnership practices to manage the coordination overhead of a greenfield program. The implemented msg.PMQ product management system and the broader msg.Insurance Suite P&C platform were positioned to increase operational efficiency, enable real-time experiences for customers and sales partners, accelerate product development cycles, and improve data quality for downstream analytics and AI models, outcomes that are explicitly reflected in subsequent releases including the first AWL Composite go-live in April 2025.
Die Mobiliar Insurance 6600 $6.2B Switzerland msg life msg.PMQ Insurance Pricing and Rating Engine 2021 n/a
In 2021, Die Mobiliar implemented msg.PMQ in the Insurance Pricing and Rating Engine category. The deployment centralized pricing and rating capabilities to support actuarial workflows and formalize model execution within a productized pricing engine. The implementation included msg.PM Quattro components and msg.PM Designer to support actuarial model development, parameter management, and scenario orchestration. The msg.PMQ application was configured to host models authored in R and Python and to interact with SQL-based data repositories for data ingestion and result persistence. Integrations explicitly covered runtime support for R and Python model execution and SQL interfaces for input extraction and output loading, enabling actuarial teams at Die Mobiliar to execute rate calculations and scenario runs inside msg.PMQ. Operational coverage targeted actuarial and product pricing functions across Die Mobiliar’s Swiss operations. Rollout emphasized skills development for actuaries, including training in Actuarial Science techniques and practical use of msg.PM Designer, R, Python and SQL. Governance and workflow changes focused on model lifecycle controls, versioning and validation practices using msg.PM Quattro features to align development, validation and promotion into production.
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FAQ - APPS RUN THE WORLD msg.PMQ Coverage

msg.PMQ is a Insurance Pricing and Rating Engine solution from msg life.

Companies worldwide use msg.PMQ, from small firms to large enterprises across 21+ industries.

Organizations such as BarmeniaGothaer, Die Mobiliar and Concordia Versicherungen are recorded users of msg.PMQ for Insurance Pricing and Rating Engine.

Companies using msg.PMQ are most concentrated in Insurance, with adoption spanning over 21 industries.

Companies using msg.PMQ are most concentrated in Germany and Switzerland, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of msg.PMQ across Americas, EMEA, and APAC.

Companies using msg.PMQ range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 100%, and global enterprises with 10,000+ employees - 0%.

Customers of msg.PMQ 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 msg.PMQ 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.