Run With It Synthetics simulates disasters to prevent them

BetaKit reports that Run With It Synthetics (RWI), an Edmonton-based company founded by Myrna and Dean Bittner, builds synthetic environments and digital twins to model potential futures for disaster response, climate resiliency, and health planning. BetaKit describes a 2019 demo recreating a 6.7-magnitude earthquake in Santa Clara that RWI populated with infrastructure data and more than 100,000 agentic, AI-powered "people," using AI, neural networks, and aggregate datasets. BetaKit quotes Myrna Bittner saying the demo was a "big a-ha moment" that demonstrated the value of enabling people to experience plausible, not-yet-occurred events.
What happened
BetaKit reports that Run With It Synthetics (RWI), an Edmonton-based company founded by Myrna and Dean Bittner, builds synthetic environments and digital twins to model potential futures across disaster response, climate resiliency, and medical planning. BetaKit describes a May 2019 Santa Clara demonstration that recreated a 6.7-magnitude earthquake in which RWI populated a replica city with infrastructure and more than 100,000 agentic, AI-powered "people," using AI, neural networks, and aggregate datasets. Myrna Bittner is quoted: "It was a big a-ha moment for us."
Technical context
Public reporting uses the term synthetic environments to mean spatially accurate digital twins combined with agent-based simulation. RWI's platform, which the company calls INFLECTOR AI (launched February 2026 per Taproot Edmonton), integrates geospatial data, infrastructure maps, population demographics, and psychographic behavior models to produce cascading failure scenarios. A 2023 profile by MaRS Discovery District confirmed RWI had built more than 30 synthetic cities globally, including municipal models in Canada, the United States, Switzerland, and Southeast Asia. In March 2026 the company launched Synthetic Canada, a high-fidelity national sandbox targeting emergency management, climate change, infrastructure, and policy planning.
Industry context
Digital twin and synthetic data platforms have moved from narrow testbeds to operational planning tools for cities, utilities, and health systems. For ML practitioners, RWI surfaces familiar engineering challenges: data fusion, synthetic population generation, agent behavior calibration, validation against historical events, and scenario explainability.
What to watch
Adoption depends on how well simulation outputs are validated against real incidents and how vendors document model assumptions for government and insurance buyers who need auditable evidence chains.
Scoring Rationale
Well-executed feature on a legitimate Canadian AI simulation company with a decade-long track record. Relevant to practitioners in digital twins, agent-based modeling, and disaster planning. Limited to a regional startup profile with no major funding event or model release; pulled from 6.6.
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