Predict Potholes
Before They Form.
InfraIQ aggregates DOT datasets, traffic patterns, weather cycles, and citizen reports to predict where road failures will occur — weeks before they happen. Auto-generate repair schedules and budget forecasts with one click.
89.4%
Prediction Accuracy
47 days
Avg. Lead Time
$4.2M
Cost Avoided YTD
InfraIQ v3.2
Predictive Road Failure Model
89.4%
Accuracy
1,284
Zones Monitored
18.4M
Training Points
47d avg
Lead Time
8 Live Data Sources
DOT · Weather · Traffic · Satellite · 311
AI-Predicted Risk Zones
Ranked by failure probability — updated daily from 8 live data sources
Downtown Financial District
New York, NY
94
Risk Score
23
Predicted Potholes
in 30 days
91%
AI Confidence
accuracy
42,000
Daily Traffic
vehicles/day
$184K
Est. Repair Cost
if proactive
AI-Identified Risk Factors
AI Repair Schedule
Optimized by risk score, weather windows, contractor availability, and budget
Contractor
Metro Paving Co.
4.9Crew Size
8 workers
Weather Window
Clear — 72°F
Equipment Required
Risk if Delayed
Estimated $340K in vehicle damage claims within 60 days
6
Total Jobs
$664K
Total Budget
2
Confirmed
2
Pending
Budget Forecast & Allocation
Proactive spend vs. reactive cost avoidance — FY 2026
$2.40M
Total FY Budget
Approved allocation
$1.64M
Allocated
68% of total
$420K
Spent YTD
18% of total
$1.82M
Cost Avoidance
vs. reactive repairs
FY 2026 Budget Utilization
$760K remainingQ1 2026
$420K
Q2 2026
$664K
Q3 2026
$810K
Q4 2026
$530K
Live Data Sources
DOT + city datasets powering the InfraIQ prediction engine
6/8
Sources Live
3.6M
Records Ingested
FHWA National Road Inventory
DOT Federal
Federal Highway Administration pavement condition data across all US interstates and state highways
NYC DOT Pavement Condition Index
City DOT
NYC Department of Transportation annual pavement condition survey with block-level granularity
NOAA Weather & Freeze-Thaw Cycles
Weather API
Historical and forecast temperature data used to model freeze-thaw pavement stress cycles
NYC Traffic Volume Counts
City Traffic
Annual average daily traffic (AADT) counts from 3,200+ sensors across all five boroughs
FixMyRoad Community Reports
Platform Data
Real-time citizen pothole reports with GPS coordinates, photos, and severity ratings
NYC Water Main Break History
Utility Data
Historical water main break locations — subsurface water damage is a leading cause of pavement failure
NYC 311 Complaint Database
City 311
10 years of 311 road damage complaints with resolution timestamps and contractor assignments
Satellite Pavement Imagery (Sentinel-2)
Satellite
ESA Sentinel-2 multispectral imagery processed with computer vision to detect surface deterioration
InfraIQ Prediction Pipeline
Data Ingestion
8 sources · 3.6M records
Feature Engineering
240+ road features
ML Model (XGBoost)
InfraIQ v3.2
Risk Zone Output
1284 zones scored
Schedule Generator
Auto-optimized
89.4%
Prediction Accuracy
47 days
Avg. Lead Time
$4.2M
Cost Avoided YTD
1,284
Zones Monitored
Predictive infrastructure intelligence
for every city size.
Stop reacting to potholes. Start preventing them. Every plan includes a 30-day free trial.
Starter
Up to 50K residents
- 3 risk zone predictions/month
- Basic repair schedule
- Budget forecast (annual)
- 4 data source integrations
- Email support
Pro
Up to 500K residents
- Unlimited risk zone predictions
- Auto-generated repair schedules
- Real-time budget forecasting
- All 8+ data source integrations
- Contractor auto-dispatch
- API access + city system integration
- Dedicated success manager
Enterprise
Metro areas · 1M+ residents
- Everything in Pro
- Custom ML model training
- Multi-city dashboard
- White-label option
- SLA guarantee
- On-site onboarding
Stop Reacting. Start Predicting.
Your city's roads deserve
predictive intelligence.
Join the cities already using InfraIQ to prevent potholes before they form, save millions in reactive repair costs, and build safer roads for everyone.
30-day free trial · No credit card required · Dedicated onboarding