![]() ![]() ![]() “It’s not one of these clean, AI model-building totally digital problems. “The core problem is something that actually is a dirty problem,” says Konux CEO Adam Bonnifield, discussing what makes this AI business different from the ones hogging most of the global limelight right now. (And no surprise it was founded in Germany where the question of whether trains are running well and on time is a perennial political issue.) That’s creating opportunities for startups to roll up their sleeves and get their hands dirty, although Konux reckons it was first to the punch. It’s doing this at a time when rising demand for train travel as consumers look for ways to reduce their carbon footprints is fuelling a push by governments and railway operators to digitize networks and transform established ways of working with the help of new technologies. Its mission is to drive digitization and transformative change atop what remains the most sustainable mass transit option humanity has - rail travel - using AI plus IoT (Internet of Things) to add intelligence to fixed rails by capturing real-time data on what’s happening on and to the railway network. It’s building out a SaaS business powered by proprietary sensing hardware and AI that drives a predictive maintenance software-as-a-service play which is upgrading railway infrastructure, one switch at a time. But far from the viral buzz swirling around developments in generative AI tools like ChatGPT and DALL-E, Konux, a Munch-based deep tech AI scale-up, has been quietly trucking along applying machine learning to transform transportation on the railways. ![]() ![]() Unless you’ve been on an extended digital detox this year, you can’t have missed how a certain flavor of AI hype has been accelerating down the tracks like a runaway train. ![]()
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