Edmonton, T5J0K4, AB,
Canada
Stantec
Stantec, a prominent reseller, system integrator, and consulting company, that plays a vital role in numerous system integration and digital transformation initiatives. Stantec collaboration with software players such as Stockholm Environment Institute, Autodesk and empowers organizations to embrace disruptive technologies and accelerate their journey to the cloud, thus reshaping their business models.
| Reseller and SI | Vendor | Application | Category | Market |
|---|---|---|---|---|
| Stantec | Autodesk | Innovyze InfoWorks WS Pro | Building Information Modeling | PLM and Engineering |
| Stantec | Stockholm Environment Institute | SEI WEAP | Utilities ERP | ERP Services and Operations |
| Stantec | Autodesk | Autodesk InfoWorks WS Pro | Utilities Distribution Management | ERP Services and Operations |
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Product | Category | When | Insight |
|---|---|---|---|---|---|---|---|---|---|---|
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California State Water Resources Control Board United States | Government | 2700 | $2.0B | United States | Stockholm Environment Institute | SEI WEAP | Utilities ERP | 2014 |
In 2014, California State Water Resources Control Board began development of the Sacramento Water Allocation Model SacWAM using SEI WEAP, classified under Utilities ERP. The SacWAM implementation focused on simulating Sacramento San Joaquin Delta operations and evaluating trade offs for in stream flow and Bay Delta policy decisions to support regulatory planning in California. Development work began with Stantec as an implementation partner and proceeded through iterative model construction and validation phases.
SEI WEAP was configured to provide hydrological simulation, scenario based allocation modeling, demand and supply accounting, and policy constraint modules to enable comparative scenario analysis for regulatory decision making. The implementation used SEI WEAP scenario management and resource accounting capabilities to create reproducible policy scenarios and to test alternative flow and allocation rules for the Delta system. SEI WEAP served as the core decision support environment for model calibration, scenario execution, and results visualization.
The model entered active regulatory and planning use by 2019, where State Water Resources Control Board regulatory and planning teams applied SacWAM outputs to inform Bay Delta policy analyses and trade off evaluations. Governance emphasized iterative scenario workflows and embedding model outputs into policy analysis cycles, with Stantec providing technical development support during rollout. The deployment scope was concentrated on Sacramento San Joaquin Delta operations and was applied within the Boards policy analysis and regulatory review processes.
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Thames Water | Utilities | 8000 | $3.4B | United Kingdom | Autodesk | Innovyze InfoWorks WS Pro | Building Information Modeling | 2024 |
In 2024, Thames Water partnered with Stantec to deploy Innovyze InfoWorks WS Pro to build a strategic model of London’s clean-water distribution network. The engagement sits in the Building Information Modeling category and targeted planning and asset-management business functions for the UK region.
Innovyze InfoWorks WS Pro was configured to support hydraulic modeling, multi-scenario supply and demand simulation, and long horizon planning workflows. The implementation incorporated scenario orchestration and model-driven asset condition inputs to enable 25 year supply-and-demand projections and planning-level hydraulic analysis for capital program evaluation.
The project integrated Innovyze InfoWorks WS Pro with Optimatics Optimizer to perform optimization runs that evaluate alternate investment portfolios and produce best value investment options for CAPEX prioritization. Operational scope covered Thames Water’s planning and asset-management teams responsible for London’s water distribution network, with a centralized strategic model used to compare network resilience outcomes across scenarios.
Stantec led the implementation and model development effort, embedding the InfoWorks WS Pro based outputs into Thames Water’s capital investment planning process. The work produced best value investment options for long term CAPEX prioritization and supported network resilience improvement planning.
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Thames Water | Utilities | 8000 | $3.4B | United Kingdom | Autodesk | Autodesk InfoWorks WS Pro | Utilities Distribution Management | 2024 |
In 2024, Thames Water implemented Autodesk InfoWorks WS Pro in the Utilities Distribution Management category to build a strategic network model supporting long-term investment planning and operational resilience for London s clean-water distribution. Thames Water used Autodesk InfoWorks WS Pro to create a single, model-driven reference of the distribution network that explicitly served operations and strategic planning functions across the UK project scope.
The deployment centered on core network modeling and scenario testing capabilities, including hydraulic network simulation and what-if analysis to evaluate intervention combinations. Autodesk InfoWorks WS Pro was configured to support multi-scenario evaluation and model-based planning workflows, with Optimatics Optimizer used to test solution combinations and refine investment sequencing and selection.
The implementation was delivered with Stantec, integrating Autodesk InfoWorks WS Pro outputs into planning review cycles used by operations and strategic planning teams for London s water distribution. The operational coverage focused on clean-water distribution assets and planning horizons relevant to long-term investment decision making, aligning model scenarios to asset and operational constraints.
Governance emphasized iterative scenario testing and cross-functional review, using the modeling and optimization outputs to inform investment decisions as described in an Autodesk University case presentation. The stated objective was to improve investment decision making and strengthen operational resilience through structured model-led evaluation of solution combinations.
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