goNEON Agentic Systems develops an AI-native approach to infrastructure planning for cities and infrastructure operators. The company positions its solution as the first fully agentic infrastructure-planning service, designed to address the gap between slow, complex, manual planning processes and the need to evaluate infrastructure and mobility interventions at scale. According to the company profile on Startup Ticker, goNEON helps planners, engineering firms, and infrastructure operators by prompting an agent (named 'N!') and receiving technically feasible, regulation-aware designs for roads, utilities, and transit networks in minutes rather than years.
The startup’s origin story is tied to the observation that developers struggle with outdated and fragmented models when attempting to simulate and evaluate city-wide interactions. goNEON is described as delivering scalable yet tailored consulting services, and as targeting the AEC services market. It also states that the founders are 'Lukas (PhD ETH, MSc ETH)' and 'Raphael (MSc UC San Diego, LSE, ETH)'. Additionally, its LinkedIn and Startup.ch listings emphasize the same core concept: using agentic AI to generate regulation-compliant infrastructure and mobility plans quickly.
