AI Infrastructure Intelligence for Road Networks
StreetIQ manages the full pavement lifecycle.
Assess → Optimize → Execute → Communicate
Each module runs on a shared roadway asset database with condition data, treatment history, and predictive forecasts.
Optimize: Plan Smarter Road Work
Use data to decide the best treatment for each road:
crack seal, resurface, overlay, or rebuild.
Allocate budget across the network based on:
cost, condition, and priority.
Group nearby projects to reduce travel and costs.
Output clear plans like:
North District Zone
Downtown Overlay Program
South Corridor Crack Seal
Assess: Collect Objective Road Data
Capture pavement condition using mobile camera scanning, LiDAR collection systems, and imported roadway datasets.
AI models detect pavement distress and generate standardized condition scores.
Each roadway segment is stored with condition score, imagery reference, GPS location and timestamp.
Execute: Deliver and Track Work
Turn plans into action with:
work orders, scheduling, and progress tracking.
Update asset records in real time.
Integrate with existing systems:
GIS, asset inventories, and APIs
Communicate: Show Impact and Plan Ahead
Generate clear reports with:
condition forecasts, budget scenarios, and repair plans.
Create council-ready infrastructure summaries/
Prioritize early maintenance to:
extend road life
reduce costs
maximize budgets
Request a Demo
See how StreetIQ captures roadway data, models deterioration, and generates optimized maintenance plans.