Lyntari provides arena, stadium and large‑event operators with a real‑time platform that aggregates camera, ticketing, POS and Wi‑Fi data into a unified operational dashboard. Using a simulation engine, it predicts crowd pressure, bottlenecks and staffing strain 15–45 minutes before peaks, delivering tiered alerts that enable proactive adjustments to staffing, routing and safety plans.
Funding
Funding not disclosed
Founders
Product
Problem
Venue operators collect data from cameras, ticketing systems, POS, and Wi‑Fi, but each source provides only a partial view, leaving them unable to anticipate crowd pressure, staffing strain, or congestion before they occur.
Solution
Lyntari aggregates these disparate data streams into a single real‑time operational picture and applies a simulation engine that stress‑tests venue layouts, staffing plans, and event flows against thousands of behavioral scenarios. The platform predicts where crowd pressure and bottlenecks will emerge, delivering tiered alerts 15–45 minutes before peaks. Operators can proactively adjust staffing, re‑route guests, and refine safety plans, turning reactive management into anticipatory action.
Target Audience
Primary customers are arena and stadium operators, large‑scale event venues, and event management teams that need proactive crowd and staffing intelligence.
Features
- Real‑time synthesis of camera, ticketing, POS, and Wi‑Fi analytics into a unified venue dashboard
- Predictive crowd‑pressure modeling that identifies congestion before queues form
- Staffing strain forecasting by zone and event phase
- Pre‑event simulation engine for layout, ingress/egress, and emergency scenario testing
- Tiered alert architecture providing 15–45 minute advance warnings of operational pressure points
- Custom scenario modeling and advisory services for large‑scale events