Our Expertise

We design and develop intelligent tools that help engineers, insurers, governments and researchers understand risk and make better decisions. Our solutions combine engineering knowledge, machine learning and real-world data to turn complex problems into clear, reliable answers.

1. Hazard Risk Assessment Modelling

We develop advanced risk assessment tools for natural hazards, including hurricanes, tornadoes, wildfires, floods and permafrost degradation. Our models use satellite and aerial imagery, geospatial data and machine learning to predict and quantify damage to buildings and infrastructure, from a single property up to an entire region.

Estimate damage before and after a disaster event

Identify high-risk areas and vulnerable infrastructure

Support insurance, emergency response and long-term resilience planning

2. Structural Health Monitoring Tools

We build AI-powered tools that automatically detect, classify and measure damage in structures. This helps make inspections faster, more consistent and more objective.

Concrete crack assessment: detecting, classifying and measuring cracks from images

Corrosion-induced damage: identifying and evaluating deterioration caused by corrosion

Fire-induced damage: assessing damage severity, predicting remaining strength and recommending suitable repair techniques

3. Model Improvement and Enhancement

Many traditional engineering and risk models are based on older mathematical approaches that are difficult to update and do not use modern data. We take these existing models and make them smarter, leaner and more accurate.

STEP 01

Strengthen traditional models with machine learning and AI

STEP 02

Conduct sensitivity studies to find which factors matter most

STEP 03

Remove unnecessary complexity and redundant parameters

STEP 04

Calibrate and validate models using real-time and historical disaster data

The result is a faster, more reliable model that reflects real-world conditions.

4. Data Analytics

We use machine learning to make sense of complex data. We turn large and messy datasets into clear patterns, useful insights and evidence-based conclusions that support confident decision-making.

Data cleaning, processing and integration

Pattern discovery and predictive modelling

Clear visualizations and actionable conclusions

Client success stories

Testimonials

“Salnom Tech’s predictive maintenance models changed how we manage our highway networks. Their ML-based risk assessment identifies vulnerabilities months before they become critical.”

Sarah Jenkins / Director of Infrastructure

“Salnom Tech’s risk assessment audits have streamlined our municipal inspections. We now make data-driven decisions that have significantly reduced long-term maintenance costs.”

Elena Rodriguez / City Engineer

“The structural health monitoring system provided by Salnom Tech offers unparalleled data precision. It is now an essential tool for ensuring safety in our bridge designs.”

David Chen / Principal Structural Engineer

“The insights generated by their machine learning algorithms for our rail networks have been transformative. They are at the forefront of infrastructure asset management.”

Marcus Thorne / Head of Asset Management

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