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Beonic — Curb-to-gate passenger flow time-series across live airport estates: continuous wait times, queue length, throughput and occupancy measured at each processing point (curbside, check-in, security, immigration, baggage), retained historically and scored predictively. The same measurement fabric also covers car parks, city spaces and event entrances, giving a comparable flow dataset across venue classes rather than airports alone. Mid-market specialist with top-tier references: roughly 54 employees and ~$16M revenue, headquartered in Sydney with Americas coverage. Site count is delibera…
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Curb-to-gate passenger flow time-series across live airport estates: continuous wait times, queue length, throughput and occupancy measured at each processing point (curbside, check-in, security, immigration, baggage), retained historically and scored predictively. The same measurement fabric also covers car parks, city spaces and event entrances, giving a comparable flow dataset across venue classes rather than airports alone
From 7 yearsCoverage Industrials · Information TechnologyAsset class Equities
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Beonic — Curb-to-gate passenger flow time-series across live airport estates: continuous wait times, queue length, throughput and occupancy measured at each processing point (curbside, check-in, security, immigration, baggage), retained historically and scored predictively. The same measurement fabric also covers car parks, city spaces and event entrances, giving a comparable flow dataset across venue classes rather than airports alone. Mid-market specialist with top-tier references: roughly 54 employees and ~$16M revenue, headquartered in Sydney with Americas coverage. Site count is delibera…
Beonic offers (Alternative, Geospatial, Sentiment) — Order 10^9-10^10 measurement rows per year across the estate. Basis: multiple processing points per airport (curbside, check-in lanes, security halls, immigration, baggage) x per-minute or faster sampling x continuous operation x the named airports, with a parallel car park and city-space estate. Each hub airport contributes tens of millions of reduced rows annually; raw vision-derived sensing sits an order of magnitude higher in bytes. Archive compounds this annually since the historical layer is retained, not overwritten.
Cross-airport wait-time benchmarking and service-level scoring for investors and consultants; airport capacity planning and master-plan calibration; staffing and lane-openness optimisation models; curb-to-gate journey modelling; passenger-arrival prediction features for airline and ground-transport apps; airport retail and F&B footfall forecasting keyed to upstream queue release; event and city-venue crowd models; and training data for queueing/simulation digital twins that need realistic arrival-process distributions
The data is with 7 years of history.
Coverage spans US, UK, Europe, APAC; Airport Services, Application Software; alternative, geospatial, sentiment; equities.
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