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Scottish AI startup offers new route to 5G network management
Dr Paul Patras, chief executive and co-founder of Net AI. Edinburgh Innovations/Supplied
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Scottish AI startup offers new route to 5G network management 

A new Scottish company promises to “drastically” reduce the need for expensive hardware and computing resources that fifth generation connectivity providers require.

Net AI, spun out of the University of Edinburgh, uses cutting edge artificial intelligence (AI) and cloud computing techniques to provide real-time insights into network demand, telling mobile network operators exactly what services are being used at any location at any given moment, and in what volume.

The startup’s microscope software will provide more accurate and timely information than what is currently available from expensive hardware installed at different points in a network, and will eliminate the need for costly computing resources that are required to process raw data offline.

Net AI, supported by Edinburgh Innovations – the university’s commercialisation service – aims to capture a significant share of the global network automation market, which is forecast to be worth more than £20 billion by 2024. The company has been launched with significant seed investment from a group of venture funds.

The spinout’s technology is based on more than five years of research at the intersection of AI and mobile networking led by Dr Paul Patras, associate professor at the university’s School of Informatics.

Dr Patras, co-founder and chief executive of Net AI, said: “Entering into an exclusive licence agreement with the University of Edinburgh is a major steppingstone for Net AI and we are grateful for the support we received from numerous people and organisations, who helped us take the research out of the lab.

“Having a unique AI technology such as microscope puts us on the world 5G map and will enable us to engage with confidence with leading players in this space. We now seek to attract top talent to join our team and accelerate market introduction. Ultimately, we aim to develop a market-leading platform for mobile traffic decomposition and deep analysis.”

Mobile network operators face ever-growing demands for diverse data services from their customers and need to support new applications with unprecedented requirements, such as autonomous vehicles and industrial automation.

Current resource management systems rely on ‘deep packet inspection’ (DPI) equipment installed at different points in the network. According to Net AI, the technology is expensive, difficult to upgrade, may slow down the network and does not work with encrypted data, which accounts for a growing share of day-to-day traffic.

Net AI’s software uses new AI techniques to provide accurate breakdowns of data demand on an application-by-application basis, allows data to be collected in the cloud, works with encrypted traffic, is non-intrusive and scales with network expansion independently of infrastructure.

Its target customers will be the current hardware and software solution providers to mobile network operators and those operators themselves, as well as professional services companies that specialise in analytics.

Dr Patras has been working with Edinburgh Innovations since 2019. He and his growing team have been supported to secure an ICURe – Innovation to Commercialisation of University Research – grant to conduct a preliminary market validation and engage with potential customers, followed by a Scottish Enterprise High Growth Spinout grant to fund development of both the technology itself and a commercialisation pathway.

The team has also received support from the University’s Data-Driven Entrepreneurship (DDE) AI Accelerator, the DDE Seed Fund programme and the DDE Fast Track Executive Designate Programme, all supported by the Scottish Funding Council via the Data-Driven Innovation Programme of the Edinburgh and South-East Scotland City Region Deal.

Dr George Baxter, chief executive of Edinburgh Innovations, said: “Talented researchers at the University of Edinburgh are well placed to find solutions to tomorrow’s problems, and the growing demand for data is just such a challenge.

“This technology has great promise. We’re proud to support Dr Patras to take his discoveries from the lab into the marketplace, which will ultimately bring far-reaching benefits.”

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