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SiMLQ helps organizations move from “we think” to “we know.” Built on Simulation, Machine Learning, and Queueing Theory, SiMLQ automatically creates digital process twins from operational data, helping teams identify bottlenecks, test scenarios, and choose better interventions before making real-world changes. Our flagship solution, SiMLQ-Emergency, helps hospitals and health systems improve emergency department flow, reduce wait times, optimize resource allocation, and expand access to care. Unlike traditional dashboards that only show what happened, SiMLQ enables predictive and prescriptive simulation - helping leaders evaluate staffing, routing, capacity, and process changes with confidence. Developed by leading operations researchers and built for complex, high-congestion environments, SiMLQ supports healthcare, public sector, industrial, and service operations where queues, variability, and delays affect outcomes. From data to action. Website: www.SiMLQ.com ED solution: www.emergency.SiMLQ.com

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Arik Senderovich is the Chief Technology Officer and Co-Founder of SiMLQ.

5 people are employed at SiMLQ.

SiMLQ is based in Toronto, Ontario.

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