Net AI

Net AI

AI-powered traffic analytics for mobile network optimization.

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$300k

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Total Funding000k

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Source: Dealroom estimates

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More about Net AI
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Net AI is a network intelligence company that provides a deep traffic analytics platform for mobile network operators. Founded in 2020 as a spin-out from the University of Edinburgh by Paul Patras, Mark Chapman, and Marco Fiore, the company leverages years of academic research in mobile networking and artificial intelligence. The founding team combines expertise in networking, machine learning, and business development to address challenges in the telecommunications sector.

The company's core business revolves around its proprietary AI-powered software solutions designed to help telecommunications companies reduce operating costs (OPEX) and capital expenditures (CAPEX) while improving service quality. Net AI operates on a B2B SaaS business model, targeting 4G and 5G mobile network providers. Its main offerings include 'EnergAIze', which controls network resources to reduce energy consumption by up to 50%, and 'ForesAIght', a forecasting engine that predicts the evolution of key performance indicators across network deployments. A central component of its technology is 'Microscope', which uses AI to provide real-time, granular insights into network traffic and resource demand, enabling better management of network slicing and quality of service.

Net AI has secured $1.01 million in a pre-seed funding round in November 2021, led by Techstart Ventures with participation from Nauta Capital, Founders Factory, and others. This funding was aimed at expanding the team and accelerating product development. The company is headquartered in Edinburgh, Scotland, and actively participates in the Open RAN ecosystem.

Keywords: network intelligence, mobile network operators, traffic analytics, AI-driven network optimization, 5G monetization, CAPEX reduction, OPEX reduction, network resource management, telecom AI, real-time analytics, predictive analytics, network slicing, O-RAN, service assurance, energy efficiency, deep traffic analysis, cloud-native network, mobile networking, machine learning, data-driven networking

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