Startup • Technological Innovation

Predict geotechnical hazards before they happen

A digital platform that simulates soil and slope behaviour and computes the Factor of Safety in real time using established scientific models (van Genuchten, SHALSTAB, TRIGRS) to protect lives and infrastructure.

5
Study zones
3
Scientific models
3
Soil types

About the project

The project is a technological innovation in natural and engineering risk management, aiming to build an integrated digital system (a Digital Twin) that represents sensitive sites digitally and monitors them in real time.

The system collects field data (groundwater level, pore pressure, deformation, moisture) and analyses it with numerical modelling and AI to provide early warning of geotechnical and hydrological hazards threatening structures and infrastructure.

Value proposition

  • A smart, accurate system for real-time natural-hazard prediction
  • Decision support for infrastructure projects and risk reduction
  • Lower economic and human losses from floods and landslides
  • Digitising risk management through the Digital Twin and AI
  • Tailored solutions based on each project's geography

Our services

Real-time monitoring

Monitor and analyse hydro-geotechnical data in real time through interactive dashboards.

3D Digital Twin

Create a digital twin of a site or structure to simulate its behaviour.

Early-warning system

Predict landslides, differential settlement and pore-pressure build-up.

Periodic technical reports

Reports backed by numerical analysis and charts to support decisions.

Sensor integration

Install and connect field sensors to collect data automatically.

Consulting & studies

Stability and safety assessment for structures and infrastructure.

How the system works

1

Data collection

Soil, rainfall, moisture and slope properties from the field or the user.

2

Numerical modelling

Compute water retention, shear strength and slope stability with proven models.

3

Risk estimation

Compute the Factor of Safety, failure probability and risk level.

4

Alert & report

Show results on a dashboard with alerts, charts and maps.

Interactive Risk Calculator

Enter site properties to instantly compute the Factor of Safety and risk level.

Higher index means more water accumulation (1.5 – 3.0)
Factor of Safety (FS)
SHALSTAB
TRIGRS
Failure probability

Water Retention Curve (van Genuchten)

Rainfall effect on Factor of Safety

Monte-Carlo distribution of FS

Study zones — Jijel Province

A pilot deployment across five zones with diverse geological properties.

Zone Soil type Min FS Status

Factor of Safety (FS)

Daily rainfall (mm)

Team & Supervision

Project team
K
Khaled Kamar
Student
D
Djedira Fatima Ezzahra
Student
Supervision
D
Djehaichia Salima
Civil Engineering
Lead supervisor
L
Lehtihet Mohamed Cherif
Architecture
Co-supervisor
D
Duhair Amir
Aménagement du Territoire
Co-supervisor
H
Halloufi Ouahid
HVAC & Refrigeration Engineering
Co-supervisor