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Abingdon-based broadband ISP Gigaclear, which has built their full fibre (FTTP) network to cover 600,000 premises (mostly in remote rural parts of England) and is home to 150,000 customers, has today announced that they’ve adopted Vyntelligence’s AI video technology – the first UK retail fibre provider to do so – to improve customer installation journeys by reducing unnecessary work.
Since launching the initiative, Gigaclear claims to have already seen “impressive results“. To date, over 1,100 customer submissions have prevented nearly 200 avoidable site visits, saving time, improving first-time installation success rates, and minimising disruption for customers in some of the UK’s hardest-to-reach areas.
The technology achieves this by enabling the provider’s customers to capture short guided videos of their homes and preferred installation routes using just their smartphones. Vyntelligence’s Agentic AI then analyses the footage, summarising key information and automatically assessing installation complexity. This allows Gigaclear’s engineers and contractors to prepare more effectively, cutting down unnecessary visits, reducing costs, and minimising delays/errors etc.
The Agentic Video Intelligence Work Platform initially appears to have only been adopted across a limited part of Gigaclear’s network, but it’s now being rolled out right across the rest of their network.
Ben Woods, Chief Operating Officer at Gigaclear, said:
“As the UK’s largest rural-focused full fibre provider, we’re committed to removing barriers to connectivity. Partnering with Vyntelligence puts customers in control of their installation journey while helping our teams deliver a faster, more reliable service.
Being the first retail fibre company to adopt this technology underlines Gigaclear’s commitment to innovation and to bridging the digital divide in rural communities.”
We’ve seen similar tools to this before, although they’re usually adopted by engineers to help plan their installation through a particular building (e.g. Openreach use something similar, such as for MDUs). But the idea of putting this sort of technology in the hands of end-users and then automating it through AI is not something we’ve seen done like this before, and it will be interesting to see how many other providers now take a similar approach.