Data science
Expertise in analytics and predictive prototypes — AI, road safety and training.
Data science
We have developed strong expertise in data analytics and predictive prototyping.
Road safety analytics
Our research on crash prediction reflects Logipro’s ongoing commitment to innovative solutions for territories and road users.
A scientific approach to crash analysis
Our focus: understand crash mechanisms better to prevent them.
Our research teams analyse complex data from multiple sources (road networks, crash history, environmental context) to reveal risk factors and hazardous situations.
This moves road safety beyond reactive responses toward predictive insight.
Toward proactive prevention
A major strand of our work is building models that anticipate higher-risk zones and scenarios.
The aim: enable public stakeholders (local authorities, road operators, safety services) to act upstream with targeted measures.
That foresight opens the door to a new generation of decision-support tools.
Recognised innovation
Led by Mohamed Mouaici — PhD in AI with peer-reviewed publications — our specialists combine academic rigour with operational impact.
Research presented at international conferences.
Concrete influence on road safety policy.
We keep innovating with public and private partners to build safer, smarter roads.
Data and artificial intelligence will play a decisive role in reducing crashes.
Training analytics
To be expanded.
Our work is informed by hands-on training experience through our training organisation Campus26, with which we built end-to-end training tracking — the Tree Learning software suite for training organisations.
Your data science project
Turn raw data into intelligent, actionable predictions.
Our rigorous process helps you anticipate events and improve decisions.
From raw data to smart prediction
Key benefits
- Proactive insight: move from reactive management to forward-looking decisions with reliable predictions.
- Scientific accuracy: algorithms built with research-grade rigour.
- Transparency: explanation methods to understand what drives each prediction.
- Flexible integration: access via open or private APIs suited to your stack.
- Continuous innovation: an R&D partnership that keeps pushing prediction further.
Prerequisites for success
Relevant historical data — volume depends on the use case (from hundreds of incidents to millions of records).
Live or regularly updated data feeds to power algorithms once in production.
What you receive
- A detailed feasibility and performance report.
- A prediction algorithm (version 1) and, where relevant, an explanation algorithm.
- API infrastructure to consume predictions.
- Recommendations on usage patterns and data capture.
Ready to turn data into a decisive advantage?
Contact Logipro for a tailored discussion.