Seeking European partners to both extend and promote the modeling capacity of RWI’s Synthetic Cities to respond to complex issues

As a participant of the upcoming symposium “2nd GCCIR Matchmaking Symposium” organized by Innoget and GCCIR next November 25th, 2019 in Barcelona (Spain), the company RWI is seeking European partners to meet at the Barcelona event to develop a joint collaboration project.

RWI is specifically interested in European partners to both extend and promote the modeling capacity of RWI’s Synthetic Cities to respond to complex issues. Further details are described below.

In case you are interested in meeting RWI in Barcelona to discuss a potential collaboration, please register for free to the symposium clicking the “Register for the event” button above.

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Details of the Technology Call

Founded in 2014, RUNWITHIT Synthetics (RWI) is pioneering the creation and application of Synthetic Intelligence (SI) Environments, supplying insight into the emergent behavior of complex, high-value systems operating under any conceivable conditions and future scenarios. In order to gain implementation efficiencies, and validate economic ripple effects, these environments provide a data-rich environment for trialing the specific effectiveness of combinations of technologies and processes, architecting innovative solutions, and exploring dynamic, adaptive system responses, including optimizing response to unpredictable events.

RWI’s SI Environments are “in silico” “in situ” worlds – complete, realistic, controllable, at-scale worlds that replicate everything systems will face when they are live. Based on all different types of data, physical principles, and behavioral research, the AI-driven Synthetics then bring the world to life, producing data about every possible outcome.

Everything required to assess what is going to happen becomes visible, and everything that hasn’t happened yet can be experienced. Any emergent behavior that cannot be captured through mathematical modeling or predictive systems based on historical data, is exposed. The realism of the RWI SI Environments provides strategic certainty for decision making and iterative development for any complex system.

Implementations of RWI’s technology have been commercialized in verticals including transportation, global media, satellite, IoT, and Synthetic Cities that connect all of these elements with disaster planning and response.

European technology companies, researchers and cities are pursuing and implementing some of the great advances in Smart City technology that address the future of transportation, carbon, security, economics, and the environment. RWI is interested in working with partners to both extending the modeling capacity of the company’s Synthetic City to demonstrate the effectiveness of these innovations, and also to promote insight into these advances and integrations to Cities around the world.

Thus, RWI’s is looking for partners with specific domain expertise. Such domain expertise may consist of research, data or technologies around any of the layers of a smart city, from their citizens to their environment.

Preferences / Requirements for Potential European Partner(s)

The following are the important aspects RWI is looking for in a European partner. We are looking for interested parties to both contribute and consume Synthetic Cities. These may fall into three categories:

• Researchers (generating research and models) or companies (producing sensors and smart city solutions) and organizations who collect data who would be interested in partnerships to contribute and develop a market for bringing their data or technologies to life in sophisticated scenarios that include data and model layers from other partner parties.
• Smart City market partners – strategic partners who are interested in participating in Synthetic Cities to provide insight into their city’s complex issues.
• RWI currently visualizes its geospatial data in data dashboards and 2D. The company would like to enhance this with visualization technology that could visualize its millions of live synthetic entities in more dimensions geospatially, potentially including realism from specific city topography, and dimensional aspects of bridges, roadways, and buildings.