List of Safran Risk Manager Customers
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Since 2010, our global team of researchers has been studying Safran Risk Manager 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 Safran Risk Manager for Risk Management 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 Safran Risk Manager for Risk Management include: Pacific Northwest National Laboratory, a United States based Government organisation with 6400 employees and revenues of $1.64 billion, Brookhaven National Laboratory, a United States based Government organisation with 2900 employees and revenues of $884.0 million, Statsbygg Norway, a Norway based Government organisation with 985 employees and revenues of $620.0 million and many others.
Contact us if you need a completed and verified list of companies using Safran Risk Manager, 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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Brookhaven National Laboratory | Government | 2900 | $884M | United States | Safran Software | Safran Risk Manager | Risk Management | 2019 | n/a |
In 2019, Brookhaven National Laboratory implemented Safran Risk Manager as part of its Risk Management tooling within project-management systems for large R&D and construction programmes in the United States. Safran Risk Manager is cited in Brookhaven job postings and recruitment materials as a required or administered tool to support Earned Value Management, project controls, and schedule and cost risk analysis across capital projects and complex research programmes. The placement of Safran Risk Manager within project-management systems establishes its role in institution-level risk analysis workflows and project control reporting.
Configured capabilities inferred from the cited role requirements include risk register management, probabilistic schedule and cost risk modeling, and generation of risk-adjusted inputs for Earned Value Management processes. The implementation is described as operating alongside project schedules and project-controls workflows to inform schedule and cost risk analysis, with administrative responsibility residing in project controls teams and systems analysts. Governance and rollout details are evidenced through personnel role definitions and operational tool administration requirements in job specifications, indicating internal ownership of Safran Risk Manager within Brookhaven National Laboratory project-management practices.
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Pacific Northwest National Laboratory | Government | 6400 | $1.6B | United States | Safran Software | Safran Risk Manager | Risk Management | 2019 | n/a |
In 2019 Pacific Northwest National Laboratory implemented Safran Risk Manager for Risk Management. The deployment focused on project-controls and risk-management workloads in the United States, supporting integrated cost and schedule risk analysis for multi-billion-dollar megaprojects and providing a platform-level simulation capability for project controls teams.
Safran Risk Manager was configured to run integrated cost risk analysis and schedule risk analysis modules alongside probabilistic Monte Carlo simulation capabilities to support high iteration scenario modeling. The implementation scaled the Safran Risk Manager simulation engine to enable much larger simulation workloads, with the vendor case study documenting 10,000-iteration runs in under ten minutes, which directly addressed the laboratorys need for faster probabilistic forecasting.
Operational coverage included project controls and risk management groups responsible for capital megaproject portfolios, where the application was embedded into iterative planning and scenario testing workflows. The Safran Risk Manager deployment emphasized repeatable simulation runs and consolidated risk inputs to support cross-functional cost and schedule assessments.
Governance was aligned with project-controls cadence, enabling more frequent risk runs and scenario comparisons as part of established review cycles, and standardizing probabilistic analysis practices across programs. Outcomes documented in the case study include substantially larger simulation capacity and faster run times, improving the ability of project-controls teams to perform rapid, high-fidelity risk analyses.
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Statsbygg Norway | Government | 985 | $620M | Norway | Safran Software | Safran Risk Manager | Risk Management | 2017 | n/a |
In 2017, Statsbygg Norway implemented Safran Risk Manager. The deployment targeted large public construction projects in Norway and was positioned within the organization’s project-controls function to address schedule uncertainty and portfolio planning needs.
Safran Risk Manager is used as a Risk Management application to perform uncertainty analysis and schedule-risk modeling on multi-project portfolios. Functional use centers on schedule uncertainty assessments, portfolio-level risk analyses, and scenario-based schedule modeling consistent with Safran webinar descriptions of the Statsbygg engagement.
The implementation integrates owner and contractor schedules to create a consolidated planning input for schedule-risk analysis and portfolio planning workflows. Integration points are focused on aligning contractor CPM schedules with owner baseline plans, enabling aggregated uncertainty views across projects for portfolio-level assessment.
Operational coverage is centered on Statsbygg’s project-controls teams and program planners, where the application informs schedule review cycles and portfolio risk discussions. Governance and process adjustments emphasized embedding uncertainty analysis into regular schedule reviews and portfolio planning, supporting consistent, repeatable schedule-risk workflows across public construction programs.
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