List of Quantrix Qloud Customers
Portland, 4101, ME,
United States
Since 2010, our global team of researchers has been studying Quantrix Qloud 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 Quantrix Qloud for Collaboration 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 Quantrix Qloud for Collaboration include: Litehouse, a United States based Consumer Packaged Goods organisation with 1146 employees and revenues of $318.0 million, Cimpor, a Portugal based Manufacturing organisation with 368 employees and revenues of $240.0 million, Mischler Financial Group, a United States based Banking and Financial Services organisation with 100 employees and revenues of $14.0 million and many others.
Contact us if you need a completed and verified list of companies using Quantrix Qloud, 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.
The Quantrix Qloud customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Cimpor | Manufacturing | 368 | $240M | Portugal | Quantrix | Quantrix Qloud | Collaboration | 2014 | n/a |
In 2014, Cimpor implemented Quantrix Qloud to centralize multinational budgeting and planning across divisions and countries, targeting the finance and budgeting process area. The deployment extended from Portugal to Cimpor’s global operations and paired Quantrix Qloud for Collaboration with Quantrix Modeler for model construction and distribution.
The implementation emphasized model-driven budgeting and consolidation, with Quantrix Modeler used to build reusable financial models, scenario management, and structured consolidation logic. Quantrix Qloud was used to provide collaborative access and controlled distribution of those models, enabling shared scenario exploration and versioned model repositories for cross-country teams.
SAP data integration was implemented to feed financial and transactional datasets into Quantrix models for consolidation and analysis, supporting automated loads and refresh cycles aligned to monthly close and planning cadences. Operational coverage focused on the finance organization, supporting budgeting, forecasting, and scenario planning workflows across multiple countries and business units.
Governance changes centralized model ownership and auditability, with standardized model templates, access controls, and change tracking enabled through Quantrix Modeler and Qloud. Outcomes documented included faster scenario exploration and more reliable, auditable models, improving collaborative planning in the Collaboration category.
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Litehouse | Consumer Packaged Goods | 1146 | $318M | United States | Quantrix | Quantrix Qloud | Collaboration | 2015 | n/a |
In 2015, Litehouse implemented Quantrix Qloud in the Collaboration category to support finance and FP&A operations across the United States. Quantrix Modeler is explicitly documented in the customer case study and Quantrix Qloud was employed to centralize model distribution and stakeholder access for enterprise financial modeling.
The deployment centered on using Quantrix Modeler for detailed financial models and Quantrix Qloud for collaborative access, version control, and model distribution workflows. Configuration emphasized shared model repositories and controlled user access to enable scenario planning and repeatable GL update procedures that reduced manual handoffs, aligning with common Collaboration category capabilities for centralized forecasting and planning.
Operational coverage targeted finance and FP&A teams within Litehouse Foods in the United States, with model sharing and distribution to stakeholders to streamline month end processes. The implementation materially accelerated GL processing, explicitly reducing the time to update over 7,000 GL accounts from 10 hours to 15 minutes, demonstrating the combined use of Quantrix Modeler and Quantrix Qloud for collaborative financial operations.
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Mischler Financial Group | Banking and Financial Services | 100 | $14M | United States | Quantrix | Quantrix Qloud | Collaboration | 2016 | n/a |
In 2016 Mischler Financial Group deployed Quantrix Qloud to deliver client-facing portfolio and securities analytics and to provide on-demand model access for institutional clients. Quantrix Qloud is categorized as Collaboration and was adopted to support the finance process area across the United States client base.
The rollout included publishing analytical models in spring 2016, configuring on-demand model access for institutional users, and operationalizing portfolio and securities analytics workflows. Implementation emphasis was on model publication processes and calculation capacity, enabling larger data set calculations within the Quantrix Qloud environment and making published models directly available to clients.
Operational coverage focused on client-facing finance functions serving institutional clients in the United States, with usage instrumentation added to track client logins and model access. Governance changes included formalizing model publication cadence and access controls to ensure published models were discoverable and auditable for client engagement, while maintaining a controlled delivery process.
Implemented outcomes reported by the firm included improved model delivery, enhanced large-data calculation performance, and the ability to track client logins and usage to support better client engagement and service.
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