We remove the guesswork and decrease decision-making time by 20% through our consensus-building, converged data platforms. This means faster scenario testing, improved project alignment, increased transparency, higher trust and engagement, and a higher ROI on capital investment, with 3rd-party estimates demonstrating up to $1.5 billion in savings over 10 years using robust city planning modeling and advanced urban development simulation.

Consumer “behind-the-meter” activities, in addition to acute and chronic climate events, are adding novel demand considerations for grid load. These shifts are challenging traditional forecasting; at the same time, companies like ENMAX Power are considering enhancements to ongoing business processes. We created a 6D Synthetic Twin of Calgary for ENMAX, quantifying and forecasting the electrification demands of the city in 2050, based on configurable and inflectable patterns such as technology adoption, climate scenarios and consumer behaviours using city planning modeling and modeling for cities tools.

Youth sense of belonging is challenging to quantify, but it’s also a key indicator of a community’s connectedness and social health. Improved belonging can facilitate everything from classroom attendance in the present to increasing economic growth in the future. Planning and social services can utilize urban development simulation and Synthetic Twins and Populations to test, forecast, and sandbox the various measures that can improve youth’s sense of belonging.

There are no well-understood tools or benchmarks for planning and deploying sustainable and resilient social infrastructure. Communities are now beginning to recognize the importance of data-backed insights in informing long-term social service strategies. This includes a comprehensive understanding of present and future demographics, needs, barriers and methods of removing these barriers, alongside knowledge-based benchmarks and KPIs. RWI Synthetics developed these benchmarks through an international survey of best practices and ran five inflectable urban development simulation scenarios into the future for a client community using city simulation software.

With housing issues at crisis levels concurrent with booming population and immigrant numbers, communities are under incredible pressure to develop quickly. By leveraging Synthetic Twin intelligence and city planning modeling, we measured, forecasted, and sandboxed the associated costs for a massive municipal development proposal, creating a high-fidelity estimate of the total annual cost for infrastructure and services at full build-out through comprehensive urban development simulation.

RWI is receiving advisory services and funding from the National Research Council of Canada’s Industrial Research Assistance Program (NRC IRAP) to support research and development in mapping disease conditions into rural and remote synthetic populations. This effort aims to model, analyze, and visualize the deployment of connected care interventions with modeling for cities insights included.

Kuala Lumpur is facing complex challenges related to pollution and greenhouse gases, which are being exacerbated by a rapidly growing population, parking scarcity, congested roadways, and the prevalence of private vehicles. As a finalist for the Toyota Mobility Foundation’s City Architecture for Tomorrow Challenge, RWI’s Synthetic Kuala Lumpur brought together all aspects of mobility and sustainability improvements with the people of KL, their lives, and livelihoods. Through urban development simulation and city simulation software, we map how policies and infrastructure can enhance inclusivity and accessibility for the city through 2040.

Figuring out water efficiency is a critical part of successful cities, for populations, industries, and to mitigate the impact of climate change and drought. Utility organizations are under increased pressure in many areas to reassess all aspects of water transportation and consumption, particularly in drought-affected regions like Southern California. We modelled residential water use in Southern California, reimagining how we measure water usage behaviours and integrating data on age, demographics, population, and time of day with city planning modeling and urban development simulation methodologies.

There is a time-sensitive opportunity for communities to make a difference by increasing graduation rates and intervening with at-risk youth through social infrastructure and programmed supports. Many organizations rely on anecdotal stories and experiences to demonstrate the value of their services and compel growth and additional support. Our award-winning work with the United Way Alberta Capital Region quantified the future impacts and “return on investment” from the All in for Youth student and family support programming using strategic modeling for cities instruments.

Unprecedented climate events are becoming more frequent. Municipal decision-makers, utility organizations, and communities need to understand how to activate resilience for infrastructure, vulnerable populations, and mitigation technologies. But without historical precedents, models require informed and data-backed insights to de-risk these risks before they occur. A resilience and community preparedness pilot project with the Tennessee Valley Authority simulated an unprecedented cold snap and subsequent power failure in Nashville. We demonstrated how both the grid and populations would be affected by the outage and the weather event, including vulnerable demographics in lower-income neighbourhoods through advanced urban development simulation and city simulation software.

Western Canada is experiencing a dramatic increase in interactions between urban wildfires and the built environment. When emergency responders identify new infrastructural or policy risks during the process of activating resilience opportunities to mitigate hazards, Synthetic Twins provide the ability to ensure that the most efficient evacuation options are provided to municipalities at the most cost-effective range by leveraging city planning modeling.