Predict the Unpredictable

Physics-Driven AI
for Smarter Infrastructure

Multimodal sensing fused with physics-informed AI to predict infrastructure failure before it happens.

Physics
Domain Models
AI
Predictive Engine
Multimodal
Data Fusion
The Challenge

Infrastructure Is Failing
Faster Than We Can Inspect It

Aging infrastructure and rising geohazard exposure outpace traditional manual inspections and fragmented monitoring.

Landslide Damage

Landslide Damage

Highways and corridors cut off by slope failures.

Pavement Deterioration

Pavement Deterioration

Road decay outpacing inspection and maintenance capacity.

Tailings Dam Failures

Tailings Dam Failures

Catastrophic environmental and human consequences from dam breaches.

Embankment Instability

Embankment Instability

Failures threatening railways, levees, and transport networks.

0
of bridges are 50+ years old
0
infrastructure maintenance backlog
0
increase in climate-related failures
Our Approach

AI for Physical
Infrastructure

Three pillars that set Limbics apart.

Multimodal Data

  • Satellite deformation (InSAR)
  • IoT geotechnical sensors
  • Weather & geological data

Physics-Infused AI

  • Physics-guided neural networks
  • Probabilistic risk models
  • Domain-constrained learning

Infrastructure Intelligence

  • Failure risk predictions
  • Automated alert systems
  • Trend analysis & forecasting
Solutions

Purpose-Built
Intelligence Products

Slope Stability Intelligence

Predict landslides before catastrophic failure

Data Sources

  • Satellite deformation
  • Geotechnical sensors
  • Rainfall & soil data

Outputs & Capabilities

01
Slope risk maps
02
Early warning alerts
03
Failure probability estimates

Pavement Intelligence

Continuous road condition monitoring using fleet vehicles

Data Sources

  • Vehicle-mounted sensors
  • Roughness detection
  • Historical maintenance data

Outputs & Capabilities

01
Deterioration modeling
02
Maintenance prioritization
03
Condition index mapping

Infrastructure AI Copilot

An AI assistant for infrastructure engineers

Data Sources

  • Monitoring & incident data
  • Geotechnical reports
  • Domain knowledge base

Outputs & Capabilities

01
Risk assessments
02
Mitigation strategies
03
Natural language insights
Platform

The Infrastructure
Intelligence Platform

From edge sensors to AI-powered decision support.

Application Layer

Dashboards
Interactive monitoring views
Risk Alerts
Customizable notifications
AI Copilot
Natural language analysis

Cloud Layer

Data Fusion
Multi-source integration
ML Models
Physics-informed predictions
Geospatial Analytics
Spatial intelligence

Edge Layer

Sensors
IoT geotechnical devices
Vehicles
Fleet-based collection
Satellite Ingestion
InSAR & imagery

Data flows from edge → cloud → application in real-time

Industries

Infrastructure Intelligence
Across Sectors

Transportation

Transportation

  • Highways
  • Bridges
  • Embankments
Mining

Mining

  • Slope stability
  • Tailings dams
Energy Infrastructure

Energy Infrastructure

  • Pipelines
  • Transmission corridors
Railways

Railways

  • Trackbed settlement
  • Landslide risk
Leadership

Built by Experts in
AI & Infrastructure

World-class researchers and engineers in distributed systems and geotechnical science.

Mosharaf Chowdhury
Apache Spark Co-Creator

Mosharaf Chowdhury

CTO & Co-Founder

  • Associate Professor, University of Michigan
  • Co-creator of Apache Spark
  • Large-scale distributed systems expert
Sadik Khan
Infrastructure Domain Expert

Sadik Khan

CEO & Co-Founder

  • Associate Professor, Jackson State University
  • Founder of Resilient Slope LLC
  • Geotechnical engineering research leadership
Ion Stoica
Databricks Co-Founder

Ion Stoica

Founding Advisor

  • Professor, UC Berkeley
  • Co-founder of Databricks, Conviva, Anyscale
  • Distributed systems pioneer
Get Started

Deploy Infrastructure
Intelligence in Weeks

Partner with us to deploy physics-informed AI across your infrastructure assets.