Structural Intelligence · Infrastructure analytics

Spot your asset vulnerabilities

before they become failures.

Asset integrity management powered by patented computer vision technology for asset condition, hazard exposure, and vulnerability analysis — designed and validated by civil engineers in accordance with established engineering standards. Built with the U.S. Air Force; deployed across buildings, roads, and runways for civilian and military assets.

two ways to access

AI-driven infrastructure integrity intelligence, however your team works.

Receive condition, hazard, and damageability deliverables back through custom reports, the API, or MCP.

Asset Reports

Inspectable, mappable condition + risk deliverables per asset — surface, roof, runway, road. Built for engineers, portfolio and program managers.

dashboard.atheniumanalytics.com

API

Receive condition ratings, hazard scores, and replacement cost values into your asset-management database.

api.atheniumanalytics.com/property/v3/property/address

MCP

Let your AI agent ask what the runway condition looks like, where the worst pavement is, or which buildings are most at-risk this year.

https://mcp.barocline.com/mcp

Interactive: distress detection

From imagery to a prioritized repair plan in one pass.

Athenium's computer vision ingests high-resolution imagery from fixed-wing aircraft, satellites, and drones. Below: a sample road-network inspection — toggle between today's condition rating and the forecasted damage risk over the same map.

Pavement network inspection · 412 segments analyzed
Current condition rating
Pavement condition overlay 5-year PCI forecast overlay Damage risk score overlay
Active layer · Condition

Pavement Condition Index (PCI)

Today
Good 86–100 26%
Satisfactory 71–85 32%
Fair 56–70 18%
Poor 41–55 12%
Very Poor 26–40 7%
Serious 11–25 4%
Failed 0–10 1%
Network length 42.6 mi

What Structural Intelligence delivers

Automated, AI-driven assessments at the scale of a full asset network.

Three product lines — asset identification, hazard assessment, and predictive damage risk — wired together so a civil engineer, program manager, or mission lead can act on one ranked list.

Computer-vision asset assessment

Ingest high-resolution imagery from fixed-wing aircraft, satellites, and drones; classify roof, runway, and roadway distresses automatically.

Hazard exposure scoring

High-resolution risk scoring quantifies potential impacts to operations, infrastructure, materiel, readiness, and performance from severe natural hazards.

Predictive damage risk

Forecast future infrastructure degradation, damage, and associated repair costs — targeting maintenance dollars where they matter most.

Change-detection reports

Track roadway and asset deterioration over time with successive inspection passes; identify accelerating-decay zones automatically.

Landing-strip identification

Upload imagery of any location to automatically identify paved surfaces suitable for aircraft landings — tailored to mission and aircraft type.

Asset-database integration

End-users integrate condition, hazard, and damage risk insights directly into existing asset-management systems with no custom glue.

After the event

Post-event damage analysis, scored per asset.

Property-level post-event damage ratios. Used by carriers and public agencies to validate claims and pre-stage repair crews across hurricane, hail, tornado, flood, and wildfire events.

Aerial imagery of hurricane-damaged buildings with per-asset damage ratios
Sample · Hurricane Michael aftermath
Per-asset damage ratio · 0–1 scale
Hurricane

Wind- and surge-driven roof and façade loss scored from aerial and satellite imagery within 24–72 hours of landfall.

Hail

Roof and skylight damage detected from high-resolution flyovers — bridges loss-cost models with verified imagery evidence.

Tornado

Path-aligned damage assessment for narrow but intense corridors; identifies destroyed vs. partially damaged structures.

Flood

Post-event inundation extent and depth fused with asset elevation to score water-damage exposure per building.

Wildfire

Burn-scar overlap and thermal imagery distinguish destroyed, damaged, and intact structures within the perimeter.

Delivery window 24–72 hrs post-event
Output Per-asset damage ratio · 0–1
Imagery sources Satellite · Aerial · Drone

Built with the U.S. Air Force

Infrastructure assessments at the scale of a service branch.

Athenium partners with the U.S. Air Force to deliver infrastructure condition and damage-risk assessments across both on-base assets and asset transportation networks. Users depend on these analytics to plan operations more safely and effectively.

Capability at a glance

Decisions on infrastructure that hold up at audit.

PCI

Industry-standard risk index

100 %

Coverage across the contiguous U.S.

AI

Automated, patented analysis — engineering teams stay in the driver's seat

USAF

Single source of truth across mission stakeholders

get started

See Structural Intelligence on your portfolio.

30-minute working session: bring a sample of locations or a recent event, and
we'll run it live. No deck.