goNEON provides an AI‑agentic planning service that creates regulation‑compliant infrastructure plans in minutes instead of months, targeting planning firms and infrastructure operators. Its planning agent, N!, automates what was traditionally manual consulting, and the platform is already deployed in five countries across five production use cases.
Funding
Funding not disclosed
Founders
Product
Problem
Infrastructure planning for transport and urban projects often requires months of manual analysis, stakeholder coordination, and regulatory compliance checks, leading to high costs and delayed implementation. Planners and operators struggle to scale these processes across multiple jurisdictions and project types.
Solution
goNEON offers an AI‑agentic planning service that automates the generation of regulation‑compliant infrastructure plans in minutes. Its core planning agent, N!, encodes transport planning expertise and local regulatory rules, allowing users to input project parameters and receive detailed design proposals instantly. The platform transforms planning from a bespoke consulting activity into a repeatable computational workflow that can be deployed across different countries and use cases. By delivering fast, data‑driven recommendations, goNEON enables firms to accelerate decision‑making, reduce labor costs, and increase the throughput of viable infrastructure projects.
Target Audience
Primary customers are transport planning firms, municipal infrastructure departments, and private operators that need rapid, compliant design of roads, transit, and related urban projects.
Features
- AI planning agent N! that synthesizes transport modeling, urban design, and local regulatory constraints into complete infrastructure plans
- Real‑time generation of compliant designs, reducing planning cycles from months to minutes
- Multi‑jurisdiction support, currently operational in five countries with built‑in localization of codes and standards
- Scalable workflow that can be applied to diverse production use cases, from road networks to transit corridors
- Cloud‑based platform that stores project data securely and enables collaborative review among planners and stakeholders
- Integration of research‑grade computational methods from ETH Zürich for evidence‑based redesign of urban transport systems