INDUSTRY FIRST · SNBI ELEMENT-LINKED INSPECTION

AI-Powered Bridge Inspection.
SNBI-Connected.
Reports in Minutes.

StruxAI's computer vision platform detects cracks, corrosion, and spalling — then automatically links every finding to your SNBI element inventory and generates fully NBI-compliant reports. The only platform that does this.

TRUSTED BYFHWAAASHTOTurner ConstructionAECOMWoolpert
// INDUSTRY FIRSTS

Three capabilities no one else offers.

StruxAI didn't build incremental improvements to the status quo. We rebuilt inspection infrastructure from first principles.

🔗INDUSTRY FIRST

SNBI Element-Level Connection

Every defect StruxAI detects is automatically mapped to its SNBI element — deck, superstructure, substructure, or culvert component — with correct element numbers, condition states, and quantities pre-populated. No manual element mapping. No post-processing. No other platform does this.

AUTO-LINKED ELEMENTS
#215 Concrete Deck#290 Concrete Column#382 Bearing Device#301 Steel Girder
🏗ONLY IN STRUXAI

Revit BIM Integration

Upload your bridge's Revit model directly into StruxAI. Inspection photos are automatically geolocated and attached to their corresponding BIM element — creating a living digital twin of your asset. Navigate the 3D model and see every defect in context, tied to the exact structural member it was found on.

SUPPORTED FORMATS
.RVT.IFC.NWD.FBX
📈ONLY IN STRUXAI

Predictive Maintenance Engine

No other inspection platform forecasts what comes next. StruxAI's predictive engine analyzes inspection history, traffic loading data, environmental exposure, and material age to model deterioration curves and predict maintenance needs years in advance.

AI FORECAST OUTPUTS
Condition ratingsMaintenance triggersCost estimatesRisk curves
// PLATFORM PREVIEW

See StruxAI in action.

From raw field images to SNBI-linked reports, predictive forecasts, and portfolio dashboards — explore the platform below.

AI DEFECT DETECTION WITH SNBI AUTO-LINKING
app.struxai.net/inspections/LC-3578
StruxAI platform preview
// THE PROBLEM

Manual bridge inspection is a structural liability.

Over 620,000 bridges. Most inspected by hand, documented on paper, with condition ratings that vary by inspector, not by bridge.

Weeks-Long Cycles

A standard bridge inspection — field work, documentation, and NBI report — takes 3–7 days plus weeks of report writing. Undetected defects propagate.

7 Days
Average field-to-report cycle

Inconsistent Ratings

The same bridge evaluated by two qualified inspectors produces different SNBI element condition ratings over 30% of the time. Subjectivity is a systemic problem.

>30%
Inter-rater variance rate
💸

Enormous Hidden Costs

FHWA spends $5.2B+ annually on bridge inspection. A significant portion goes toward manual documentation that doesn't improve maintenance outcomes.

$5.2B
Annual federal inspection budget
// HOW IT WORKS

From raw image to SNBI-linked report.
Under 10 minutes.

01
📸

Upload Field Images or Revit BIM

Drag-and-drop photos from inspection cameras or smartphones. Or upload your bridge's Revit model. StruxAI accepts JPEG, TIFF, RAW, IFC, RVT, and NWD. Batch processing up to 10,000 images.

Formats: JPEG · TIFF · RAW · RVT · IFC · NWD · FBX
02
🤖

AI Detects, Classifies & Links to SNBI

StruxVision™ — trained on 2.4M+ FHWA-annotated images — detects cracks at 0.1mm resolution, corrosion, spalling, and joint failure. Every finding is automatically linked to its SNBI element with correct condition states. 340ms inference.

SNBI Elements: #215 · #290 · #301 · #382 · +40 more
03
📋

SNBI Report Auto-Generated

A complete SNBI/NBI-compliant report is generated: element inventory, condition ratings with quantities, GPS-mapped findings, risk score, maintenance recommendations, and predictive deterioration forecast. Push to AASHTOWare.

Output: PDF · AASHTOWare · BMS Push · REST API · SFTP
// AI DETECTION ENGINE

Defects found. SNBI-classified. Report-ready.

StruxVision™ detects and geo-locates every defect, maps it to its SNBI element, assigns condition states, and outputs it directly into your NBI inspection report.

LIVE ANALYSIS
BRIDGE_IMG_4082 · 4K● 3 DEFECTS
HAIRLINE CRACK94.2%
SURFACE CORROSION87.6%
CONCRETE SPALLING91.3%
STRUXVISION-v3.2 · mAP@0.5 IoU: 96.4% · 0.34sSNBI AUTO-LINKED ✓
STRUCTURAL RISK ASSESSMENT
Overall Risk Score
SNBI Element Weighted
7.4
LOWCRITICAL
Hairline Crack
SNBI #290
HIGH
Detection Confidence94.2%
Surface Corrosion
SNBI #215
MEDIUM
Detection Confidence87.6%
Concrete Spalling
SNBI #382
HIGH
Detection Confidence91.3%
// MEASURABLE IMPACT

Real numbers from real deployments.

0%
Faster Inspection Cycles
7 days → under 4 hours
0.0%
Defect Detection Accuracy
Validated vs FHWA benchmarks
0×
Inspection Throughput
Same team, more bridges
0%
Documentation Cost Reduction
vs. manual SNBI reporting
// WHO IT'S FOR

Every role in the inspection chain.

🏛DOT / STATE AGENCIES

Meet FHWA mandates. On schedule.

Automate your biennial SNBI inspection cycle without expanding headcount. SNBI-linked reports, prioritized maintenance queues, and predictive capital forecasts from one platform.

Learn how →
📐CIVIL ENGINEERING FIRMS

Deliver SNBI reports at scale.

Transform field photos into SNBI-compliant, element-linked deliverables in minutes — letting your licensed engineers focus on engineering judgment, not documentation.

Learn how →
INFRASTRUCTURE CONTRACTORS

Document conditions. Defensibly.

Pre-construction condition surveys protect you from change-order disputes. StruxAI creates a timestamped, SNBI-documented record of every existing defect before construction starts.

Learn how →
🏙BRIDGE OWNER AGENCIES

Asset management grounded in data.

Municipalities managing aging infrastructure use StruxAI to build complete condition histories, forecast capital needs, and prioritize maintenance based on SNBI-linked AI analysis.

Learn how →
// GET STARTED

Book a 30-minute live demo.

See SNBI element auto-linking, BIM integration, predictive maintenance forecasts, and full report generation — live, with your own images if you'd like.

No spam. SOC 2 Type II controls. Your data is never sold.

40+ Agency Deployments
620K+ Bridges Analyzed
4.9 / 5 Customer Rating