ELF helps cities simulate, coordinate, and optimize transportation for major events using distributed hubs, AI agents, and HyperCommute-powered orchestration.
Mega-events expose the fragmentation in urban transportation. Agencies plan independently, tools remain static, and live operations become reactive when demand shifts.
A planning and operations layer for cities, venues, transit agencies, and mobility partners.
Ask natural-language questions, generate mobility plans, inspect risks, and approve recommended actions.
Model the city as configurable neighborhoods: stadium districts, fan zones, transit corridors, airports, and hotel clusters.
Coordinate fleet rebalancing, routing, hub load redistribution, and cross-agency interventions in real time.
ELF unifies the planning phase and orchestration phase into one continuous intelligence loop.
Stress-test high demand, rain, transit disruptions, traffic incidents, and venue egress before event day.
Coordinate neighborhood agents, hubs, and mobility assets through a shared citywide command layer.
Use live KPIs, AI alerts, and post-event learning to continuously improve future operations.
HyperCommute provides the mobility optimization engine. Innovative Multi-Agent Framework enables specialized agents to collaborate around planning, risk, routing, fleet, equity, and live operations.
Monitor readiness, launch scenarios, interact with hub-level agents, and approve actions through a dark, map-first interface.
Coordinate stadium districts, fan zones, transit corridors, and security constraints at mega-event scale.
Optimize ingress, egress, parking hubs, shuttle flows, and pedestrian corridors.
Create a reusable operating framework for emergency response, festivals, parades, and daily mobility stress events.
ELF brings together AI agents, HyperCommute optimization, and city-scale orchestration to move people smarter during the world’s most demanding events.
Book Strategy Session