Metrolla

Airport-wide anonymous 3D LiDAR perception data spanning terminal, apron and curbside on a single fused map: checkpoint and security queue length and wait time, gate-area occupancy and boarding-zone dwell, bag-drop and check-in throughput, curbside drop-off dwell and congestion, ramp and ground-vehicle tracking, worker-versus-passenger classification counts, and safety event streams (wrong-direction, perimeter intrusion, after-hours occupancy, apron proximity). What makes this distinct is not just coverage but track quality: entities carry persistent IDs across sensor handoffs, so an individual passenger or vehicle is followed as an anonymous track through the whole journey rather than counted per zone. Raw video and point clouds are processed at the edge and never leave the airport, so the exportable asset is the derived track and metric layer

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Coverage

Universe, instruments and categories.

Industry: Electronic EquipmentAirport Services
Instruments: equities
Categories

Dataset card

Type: not stated
Format: Streaming anonymous track and metric feeds published over MQTT, REST and webhooks into existing VMS, BMS and SOC tooling — high-frequency per-entity trajectories plus per-zone aggregates (queue length, wait minutes, occupancy, dwell, throughput, worker/visitor class) on one fused coordinate map. Delivered as an event-stream data plane rather than a batch export, which is materially easier to licence and ingest than a retrospective dump
Volume: Per fully instrumented site, order 10^8-10^9 anonymous track records and 10^6-10^7 zone-metric rows annually, because continuous multi-sensor tracking of every person and vehicle on a fused map produces far higher resolution than per-minute zone counting — entities are tracked, not merely tallied. Estate-wide volume is however near zero today: volume is proportional to installed sites, and the installed base is plausibly pre-scale. This is a per-site volume leader with an estate-volume gap
Users: N/A — B2B airport deployment with no consumer accounts; scale is counted per instrumented airport and per sensor zone. There is no registered-user population to licence, and the product explicitly avoids tracking identity
History: 2 years
Update frequency: not stated
Growth: Active but pre-scale — a seed-stage engineering team shipping product, not a vendor at market. Evidence of activity: a detailed and current deployment playbook, named sensor partnerships with two specific LiDAR hardware makers, named integrations with three major security-platform vendors, and its own tooling suite including a planning/layout tool, an edge computer and a unification server, all of which indicate real engineering output rather than a concept deck. Evidence of pre-scale: ~7 staff, ~$450K raised, and no customer names anywhere in the material
Launched: Est. 2021-2023. Basis: the corporate record shows a seed round of roughly $450K and a 7-person team, which places the company firmly in the recent-vintage bracket; the company identifier itself has existed long enough to have accumulated both a hardware-partnered product and in-house edge and unification software, which is a couple of years of build, not a first-year effort. The registered domain age corroborates a company founded in the early 2020s rather than the late 2010s. No founding year is printed on the page; treat this as a bounded estimate and confirm with the vendor
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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