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Applied research in multi-agent methods for dispatch, routing, and utilization. Starting in simulation and validating with real operational data.
Systems that maintain operational behaviors during complete network outages, removing single-point-of-failure dependency.
Vehicles function as localized AI endpoints, making coordinated routing decisions to adapt to real-time conditions instantly.
A rigorous simulation and replay environment to establish empirical before/after metrics prior to field deployment.
RideFair is in active simulation. We are currently testing our multi-agent models against historical datasets and onboarding initial logistics partners for real-world telemetry validation.
