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/Index/Isarsoft/Isarsoft
I

Isarsoft

ISARSOFTManage supplier listing

Passenger-journey and terminal-operations data derived from an airport's existing IP camera estate, with the explicit differentiator that it is positioned against boarding-pass data: where a boarding pass gives a snapshot of demographics and destination, this captures continuous movement. Concretely it yields multi-camera journey tracks showing how a traveller actually walks a terminal, high-precision overhead counts at entrances and checkpoints, flow patterns and crowding, gate occupancy, ground-vehicle movements, queue and wait-time analytics with a named production use at Salzburg Airport's arrivals area, live operational KPIs, and security detections for unauthorised access, tailgating, abnormal behaviour and left-behind items

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Coverage

Universe, instruments and categories.

Industry
Application SoftwareAirport Services
Instruments
equities
Categories
Alternative
Geospatial
Sentiment
Regions
EuropeOtherUKUS
Sample tickers
FRA.DEMUC.DEIAG.LDALUALAALDFS.L
Dataset card
Type
not stated
Format
Time-series and track data generated at or near the edge, delivered through integrations with major VMS and BI tools rather than a bespoke dashboard alone: per-camera and per-zone metric streams, journey track segments stitched across cameras via anonymous re-identification, and redacted video retained as evidence for security events. Local and offline processing is offered with optional onward sharing to third-party systems, so the exportable artefact is the derived metric and track layer, with redacted video as a secondary asset
Volume
Order 10^7-10^8 metric rows and 10^6-10^7 journey track segments per airport per year, before any aggregate across the estate. Basis: an operating airport typically runs hundreds of cameras, and the product derives continuous metrics plus cross-camera journey segments from them, so per-site volume scales with existing camera density rather than with a sparse new sensor grid — this is the structural advantage of reusing installed cameras. A named arrivals-area deployment alone at a mid-size European airport generates millions of journey segments annually. Estate-wide volume remains modest, being proportional to a single-digit customer count
Users
N/A — B2B airport deployment with no consumer accounts; scale is counted per installed airport and per camera. There is no registered-user population to licence, and the product is explicitly designed not to identify individuals
History
7 years
Update frequency
not stated
Growth
Active and established rather than scaling fast: 12 staff in Munich with no funding on record, which points to a bootstrapped or revenue-funded specialist that has sustained an engineering team without outside capital — a materially more durable profile than the seed-stage peers in this table. Activity evidence is concrete: a current, detailed solutions estate with recent-dated site assets, a live named airport customer, and integrations into major VMS and BI ecosystems rather than a standalone tool. Against rapid growth: no disclosed funding or headcount expansion, and the organisational record has not grown markedly, so read it as a steady, profitable-feeling niche incumbent
Launched
Est. mid-2010s, with the airport vertical arriving later. Basis: a 12-person Munich engineering company that has reached a position of describing airport operators as leading customers, with integrations into established VMS and BI ecosystems and its own named product brand, is the profile of a firm that has traded for a decade or more on revenue rather than a recent entrant. The airport-specific positioning and the journey-mapping and anonymous-re-ID features read as later product generations layered on an older video-analytics core, which is a common and credible lineage for this class of vendor. No founding year is printed on the retrieved page; confirm both dates 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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