Custom GeoAI Models

Why generic models are not enough

Pre-trained models often deliver good results in demonstrations, but quickly show their limitations in real-world conditions. Each territory, each profession, and each dataset requires:

• Specific objects to detect or segment
• Implicit business rules
• Different quality, precision, and reproducibility requirements

What we cover with custom models

Our approach is entirely business-oriented and focused on operational value:

• Precise analysis of operational objectives and business needs
• Clear definition of objects to detect or segment
• Building and validation of training datasets
• Iterative model training and evaluation
• Direct integration into QGIS via QGeoAI
• Knowledge transfer to your teams

Our models are designed to be reliable, explainable, and usable, while remaining adapted to your constraints and business context, whether in the public or private sector.

What you get

• Robust and understandable models, mastered by your teams
• Ability to evolve and maintain models over time
• Alignment with your business objectives and operational constraints

Key values preserved for your organization

• Data sovereignty: your data remains under your control
• Open source: no subscription, no lock-in, public procurement compatible
• Reproducibility: reliable and consistent results
• Sustainability: maintainable and scalable models
• Auditability: documented and transparent algorithms and models