goNEON is an AI-native planning service that unifies transport networks, street space, and regulatory context into a single computational environment. Its core engine, N!, generates and evaluates infrastructure and mobility scenarios within minutes, removing a bottleneck that currently slows national and urban planning cycles for years. Instead of relying on static studies or isolated modelling tools, goNEON provides ministries, cities, and consulting firms with instant, consistent, and transparent assessments of how design, regulation, and accessibility interact across entire networks.
The system’s unique value lies in its ability to synthesise regulatory rules, spatial constraints, multimodal street typologies, and accessibility outcomes into actionable designs without manual pre-processing. Hundreds of specialised AI agents collaborate autonomously to explore alternatives, test feasibility, and surface trade-offs, allowing planners to understand the consequences of interventions long before traditional workflows would produce a first draft.
For national authorities, goNEON supports policy evaluation, scenario screening, and infrastructure prioritisation at a speed and resolution that were previously impractical. For cities and planning firms, it compresses exploratory design work from months to days, enabling earlier stakeholder dialogue and more robust decision-making. Rather than replacing engineering, goNEON expands the front end of planning, offering a scalable, AI-driven capability to rapidly explore possibilities and clarify strategic direction.
