Case Study: CityFibre improves fibre installation quality with IQGeo and NetLux AI

A Deepomatic Case Study

Preview of the CityFibre Case Study

CityFibre cuts QA review time by 55 minutes with Deepomatic

CityFibre, the UK's largest independent wholesale fibre network, needed to move beyond slow, manual quality audits to keep pace with its aggressive growth goals. The challenge was to deliver consistently high-quality fibre optic installations, as manual reviews by QA managers were slow and could only check about 20% of operations. They partnered with vendor Deepomatic, using its AI-powered image analysis solution (now rebranded as NetLux AI from IQGeo).

By deploying Deepomatic's (IQGeo's) mobile app and AI-powered image analysis, CityFibre now captures and evaluates every task in real time. This solution provides instant feedback to engineers and drastically reduces repeat visits. The results include saving 55 minutes per QA review, achieving a 99.75% right-first-time rate for operations, and requiring 3-4 fewer incident site visits, giving CityFibre better visibility and control as it scales.


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