About
Agentic AI platform for infrastructure planning. Planners, engineering firms and infrastructure operators prompt its planning agent, N!, in natural language and receive technically feasible, regulation-aware design options — spanning lane-level transport network scenarios, parking and curb inventories, cycling route alternatives, freight loading zones and driveway sight-line permit checks — in minutes rather than months.
How teams use it
By audience
- Civil Engineering
- Generates lane-level transport network scenarios with automated design-compliance checks against machine-readable design guidance
- Produces cycling route alternatives scored on directness, gradient and traffic exposure, with cross-section validation
- Identifies freight loading zones across a study area for varying vehicle classes
- Automates sight-triangle verification at driveways and intersections for permit review
- Replaces manual, disconnected planning workflows with constraint-aware spatial models that enforce network consistency
- Owner/Developer
- Infrastructure operators run automated parking and curb inventories with regulatory compliance assessments
- Turns one-off planning consulting engagements into repeatable computation for recurring network assessments
- Lets asset owners test many corridor or network options before committing budget to a preferred scheme
By phase
- Concept & Planning
- Prompt an AI agent in natural language to return feasible network-planning scenarios in minutes instead of months
- Compare scored route and corridor alternatives early, before a preferred option is locked in
- Screen study areas for parking, curb and loading-zone capacity ahead of formal design
- Design
- Machine-readable design rules check each generated option against applicable design guidance and physical constraints
- Sight-line and cross-section validation catch geometry non-compliance before drawings go out for permit
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