01
Evidence-based decisions
Start from observable facts, data quality and institutional constraints.
Our approach
Make public decision-making measurable, explainable and defensible.
A shared method applied to customs and territorial decisions.
The goal is not to add technology for its own sake. The goal is to give administrations and public actors a disciplined way to turn imperfect data into decisions that can be discussed, justified and audited.
Approachv1.0
01
Evidence
Clarify what decision must be improved.
02
Method
Translate data into explainable criteria.
03
Governance
Keep responsibility and traceability visible.
Commitments
Five commitments structure everything we do.
They are intentionally simple, because public decision-making needs methods that are operational, explainable and transferable.
02
Explainable AI
Make every score or suggestion understandable to its user.
03
Sovereign data
Work inside a controlled and documented data perimeter.
04
Optimization & scoring
Rank options when resources are limited.
05
Auditability
Record what was suggested, decided, overridden and learned.
Application hubs
One method, two intervention hubs.
The same discipline applies to different public decisions: customs risk management on one side, and territorial choices across cycling, school surroundings and urban cooling on the other.
Customs
Customs Hub
Risk management, targeting, multilingual product classification and forensic reconstruction.
Territory
Territory Hub
VELODIT, ECODIT and FRAÎCHEUR: cycling investment, school surroundings, urban cooling, urban planning and data-driven public trade-offs.
Support
Services
Diagnostics, pilots and training make the transition operational.
Start with a short scoping discussion.
Before any engagement, the first step is to clarify the decision to improve, the data available and the expected operational outcome.