Portfolio-wide risk view around critical infrastructure

SAMRoute gives transport-infrastructure teams a shared view of critical infrastructure across the whole portfolio. It surfaces the surrounding context and clarifies the dependencies between points.

BeforeAfter
Trade shows
& news
2025Q42026Q2Q3
RailTech Europe 2026, Utrecht, NL
RailTech Europe 2026, Utrecht, NL
4 March 2026
Intertraffic 2026, Amsterdam, NL
Intertraffic 2026, Amsterdam, NL
10–13 March 2026
RIN London, London, UK
RIN London, London, UK
Thursday 12 March 2026
Secours Expo 2026, Paris, FR
Secours Expo 2026, Paris, FR
19 March 2026
SITL 2026, Paris, FR
SITL 2026, Paris, FR
31 March – 2 April 2026
UK Rail 2026 (Railtex), Birmingham, UK
UK Rail 2026 (Railtex), Birmingham, UK
13–14 May 2026
Drive to Zero 2026, Paris, FR
Drive to Zero 2026, Paris, FR
2–3 June 2026
European Mobility Expo 2026 (EuMo), Paris, FR
European Mobility Expo 2026 (EuMo), Paris, FR
9–11 June 2026
Eurosatory 2026, Paris, FR
Eurosatory 2026, Paris, FR
15–19 June 2026
RailTech Europe 2026, Utrecht, NL
RailTech Europe 2026, Utrecht, NL
4 March 2026
Intertraffic 2026, Amsterdam, NL
Intertraffic 2026, Amsterdam, NL
10–13 March 2026
RIN London, London, UK
RIN London, London, UK
Thursday 12 March 2026
Secours Expo 2026, Paris, FR
Secours Expo 2026, Paris, FR
19 March 2026
SITL 2026, Paris, FR
SITL 2026, Paris, FR
31 March – 2 April 2026
UK Rail 2026 (Railtex), Birmingham, UK
UK Rail 2026 (Railtex), Birmingham, UK
13–14 May 2026
Drive to Zero 2026, Paris, FR
Drive to Zero 2026, Paris, FR
2–3 June 2026
European Mobility Expo 2026 (EuMo), Paris, FR
European Mobility Expo 2026 (EuMo), Paris, FR
9–11 June 2026
Eurosatory 2026, Paris, FR
Eurosatory 2026, Paris, FR
15–19 June 2026
100%
of active level crossings on the French national network
~200
metrics per crossing describing the nearby environment
many
crossings carry at least one prohibitive-detour OD pair
minutes
to recompute the whole national portfolio
EU
data and infrastructure residency
24/7
connected production substrate
100%
indicators are auditable end-to-end
100%
deterministic re-runs on the same inputs

Why this work is timely.

Three pressures on European rail infrastructure, plus a capability shift that has finally caught up.

#timing

European rail networks have aged past their design life. Renewal trails the work each year. The same networks now carry more traffic on essentially fixed track. Since October 2024, EU Directive 2022/2557 (CER) obliges Member States to require recurring risk assessment on critical rail operators. Why now carries the full reading.

Coverage remains uneven across critical points.

Local reviews are essential, but don't provide a consistent portfolio-wide view

#why

Today, owners read critical points of infrastructure like level crossings one at a time. Studies, reviews, and mandated traffic counts exist. But coverage stays uneven, and the operational view runs as a patchwork.


What's missing is a view across the whole portfolio. One that runs systematic, homogeneous, and easier to maintain. One that adds colour to the picture by surfacing the context around each point. And one that reveals which key flows rely on which points, so the picture clarifies the dependencies.


Turning that context and that dependency view into indicators creates a shared basis. Owners can then compare points across the portfolio. They can prioritise focus areas and investment programmes against the same metrics.

samroute consolidate pathwork point by point data to a unified portfolio view
Point-only inventories often stay scattered and incomplete. Much of the surrounding context goes unseen. A systematic scan brings that context into view and adds colour and consistency across the set.

SAMRoute scans your network and makes critical points comparable.

It reveals context and models dependencies, then turns both into portfolio indicators.

#what
samroute helps bring color to the greater context around critical infrastructures which is usually less known
We scan the portfolio, pull in the emitters of risk-bearing traffic, and look beyond the usual radius to surface wider context. Combined with modelled dependencies, this gives owners a consistent, comparable basis to prioritise focus areas and investment programmes.

SAMRoute turns scattered, uneven information into a shared, comparable picture. Teams spend less time reconciling. They spend more time deciding what to do first across a full network.


First, it expands situational context. The platform scans well beyond the usual radius, so the surrounding environment opens up consistently at scale.


Then, it clarifies the dependencies between points. The platform surfaces which key flows likely link to which points (under explicit assumptions). Portfolio discussions then rest on a more consistent basis, alongside existing studies, reviews, and local expertise.

SAMRoute runs a traceable chain from data to results.

We scan context and model dependencies, then aggregate per critical point.

#how

SAMRoute pulls in general-purpose geospatial data (network topology, reference layers, context datasets). It then adds task-specific inputs, such as inventories of emitters and critical points, and customer datasets where available. The modelling choices rest on explicit assumptions that owners can review and adjust.


The platform generates origin–destination (OD) pairs and computes a primary route plus an alternative that avoids a given critical point. It keeps only the OD pairs that actually traverse the point. It then aggregates results per critical point and stores them for live use in the UI.


The chain stays traceable end-to-end, from inputs through assumptions to results. It supports sharing today. It will support machine-to-machine hooks and keep outputs current as data evolves.

samroute modeling processing and delivery
A 5-step overview of the chain: (1) data inputs—generic geospatial layers plus task-specific/customer data; (2) the geospatial engine—context discovery at wider extent plus routing calculations; (3) backend processing and the portfolio UI; (4) access sharing for internal/external review; (5) upcoming capabilities—notifications (system-to-system) and continuous refresh as data evolves (near-live re-analysis).

See the level-crossing demo in action

Make local context visible. Clarify at-risk road-flow dependencies. Align stakeholders on one shared referential.

#tutorial

This demo targets rail-infrastructure teams. It shows how the platform describes the local context around a level crossing and the dependencies of at-risk road flows on a consistent basis. It then consolidates both into a portfolio view you can sort and compare to support prioritisation.

To see it in action, request a walkthrough.

Behind SAMRoute

Founder-led, with research and engineering credentials.

#founder
founder image

Fabrice Colas founded Oriskami SAS and runs SAMRoute. PhD in statistical learning from Leiden University, postdoctoral research at UCLA, UMC Utrecht, and Leiden University Medical Center, and a personal CIR-approved consultant agrément from the French Ministry of Research (2022, renewed 2025–2027).


Who we are carries the fuller depth panel, including selected publications, prior production-shipping work, and applied epidemio-statistics.

Explore SAMRoute in a live demo

Request sandbox access, or request a live exchange to tour the demo and map the next steps

#start
try samroute sandbox
Enter your work email to get sandbox access and explore a real-world portfolio example. No sensitive data is needed.
request a walkthrough
Prefer a guided walkthrough? Send a short note about your scope. We'll start with a first call, then set up the next steps together.