Where we’ve measured. What the data said.
Every Inakalum engagement is backed by real survey work — whether that’s NetworkUX mobile coverage measurement or on-foot street asset mapping. This is the library: a regulator-commissioned rail pilot, multi-week council bin-wagon programmes, championship event-day stress tests, small-town parades, a normal Thursday at one of London’s busiest stations, and on-foot kerbside and city-centre asset surveys for Dublin and Newcastle. Different methodologies, different geographies — the same engineering discipline.
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10Case studies
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4UK MNOs, every survey
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26M+Datapoints across deployments
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2024–26Span of fieldwork
The case study that put NetworkUX on the train.
Ofcom Brighton–London Rail — 2025
A regulator-commissioned pilot that put NetworkUX onto Thameslink, Southern and Gatwick Express services across a week of peak and off-peak Brighton–London journeys. The headline: average speeds barely moved between peak and off-peak, but the percentage of failed speed-tests exploded — EE went from under 5% off-peak to over 25% at peak. The fall-back — onboard Wi-Fi — was usable on only 68% of journeys, and where it was usable it was the slowest network on the train.
Read the Ofcom case studyOn-foot asset and public-place surveys — the original Inakalum service.
Locally-recruited surveyors walking every route, photographing and geotagging every feature, delivering structured GIS data ready for ingestion into council asset platforms. The methodology that predates NetworkUX and underpins the company.
Under the EU H2020 SENATOR project, Inakalum surveyed Dublin City Council’s kerbside assets along the city’s footpaths and pavements — point, linear and polygon — with data delivered to the CurbIQ platform. Two full re-surveys in 2024 and 2025 proved change detection at city scale: the 2025 re-walk re-approved 5,814 assets, retired 391 and added 184.
Read case study
Ten locally-recruited agents surveyed every street asset and public place across Newcastle’s 3.1 km² city centre in ten weeks — over 28,000 street assets and 2,000+ public places, with AI analysis of every captured image to add metadata. Delivered as KML for ingestion into NCC’s own GIS.
Read case studyBin-wagon programmes — borough to city to combined authority.
Battery-powered NetworkUX kits placed in bin lorries, swapped between vehicles daily, collecting four-operator coverage and performance data while the wagons do their normal rounds. The model started in Westminster with Veolia in 2024 and now runs at city and combined-authority scale.
The pilot that proved bin lorries could carry mobile-network survey kit. One week, eight square miles of central London, 1.2 million measurements across all four MNOs. The deliverable went to DSIT and now anchors the model that runs in Manchester and the Tees Valley.
Read case study
The Westminster model, scaled to a major city. Biffa’s fleet covered every street in the MCC area over four weeks, four operators measured simultaneously. The dataset now feeds MCC’s Digital Strategy work and is referenced on the GMCA Digital blog.
Read case study
Five councils, one combined authority, six months of continuous data collection across four operators — the model at its longest-running scale to date. Over ten million coverage and performance datapoints, deployed across waste fleets in Darlington, Hartlepool, Middlesbrough, Redcar & Cleveland and Stockton-on-Tees.
Read case studyWhen the network has to perform.
Pre-event, during-event and post-event surveys at major festivals, championships and civic gatherings. The honest answer to “how did the network actually do on the day?” — not the operator’s answer, the passenger’s answer.
A small town hosting a global sporting event. Pre-event surveys looked fine on signal maps. During the championship, throughput tests collapsed — Three’s failure rate hit 99.9% on tournament days. The case study that crystallises the “signal isn’t service” theme.
Read case study
Ireland’s biggest traditional music festival, a 26× population surge across one weekend. Networks performed remarkably well given the load — worst failure rate just 5.2% — but the data still revealed where capacity ran thin and where it didn’t.
Read case study
A small-town parade where the network counter-intuitively got faster on the day. A surprising counterpoint to the usual event-day story — and a reminder that the only way to know is to measure.
Read case studyA normal Thursday in the worst commuter peak.
Pinned, repeat surveys at locations where the network has to handle daily, predictable load — not one-off events. Where the failure mode is “every weekday, 5 PM, the same place”.
The library grows by one each time a council, venue, regulator or operator commissions a survey.
If your borough, event, station, charge-point estate or BID footprint isn’t on the list yet — let’s change that. The methodology travels: bin lorry, train, foot patrol, fixed point, drive route. Same kit. Same four operators. Same deliverable structure as the case studies above.