​An in-depth Q&A with Net AI Since re-joining Head Resourcing this year, I’ve been reflecting on the key areas where we’re likely to see real growth in the Scottish tech landscape over the next few years and it’s clear that AI start-ups are set to play a huge part in that evolution. One company that’s leading the change is Net AI, an innovative Edinburgh-based business looking to transform the telecoms industry by making networks greener and smarter with AI-driven solutions. I recently met with Paul Patras, CEO and Co-Founder of Net AI, at The Source Coffee Co on Spittal Street in Edinburgh (great coffee), to learn more about what they’re building, the challenges they’re tackling, and how synthetic data is helping them bring cutting-edge AI to a traditionally risk-averse sector. Following that conversation, I thought it would be great to delve further into who Net AI are, read on to find out what makes their approach unique, and why their work matters. This is not just for the telecoms industry as it shows what is possible when AI is put to work solving meaningful, real-world problems.Using AI and synthetic data to make mobile networks greener What problem are you solving? We're addressing the growing energy consumption problem in mobile networks, particularly within Radio Access Networks (RANs), which make up for over 75% of a telecom operator’s energy footprint. With rising traffic demands and the need for uninterrupted service, the profit margins are getting smaller, and the energy costs are becoming unsustainable for operators. Our mission is to help mobile network operators reduce their energy costs by up to 60% without compromising service quality. How exactly are you using AI? We have developed a software solution that intelligently switches off/on radio-frequency carriers and cells based on real-time predictive insights into traffic demands obtained with our AI-driven forecasting engine. This approach enables mobile operators to significantly reduce the