# CartograFit — Documentation (English)

> Geographic parking-data platform by FIT.ai. FIT.ai is a data aggregator: our data factory, Argos, aggregates, refines, scores, sorts and structures multiple sources and signals into versioned datasets, delivered through CartograFit in open formats (GeoPackage, GeoJSON).

## Documentation
- [Introduction](https://docs.fitai.fr/en/): Documentation for the CartograFit platform by FitAI
- [Our approach](https://docs.fitai.fr/en/vision): How FIT.ai aggregates, refines and structures high-quality geographic data
- [Ask the AI](https://docs.fitai.fr/en/ai-assistant): Use an AI assistant to explore our documentation
- [Plans and subscriptions](https://docs.fitai.fr/en/offres): CartograFit subscription model - datasets and options
- [Subscription details](https://docs.fitai.fr/en/offres/abonnements): Complete breakdown of CartograFit subscriptions and options
- [Map preview](https://docs.fitai.fr/en/offres/previsualisation): A read-only visual preview of your CartograFit data
- [Fit Audit](https://docs.fitai.fr/en/audit): CartograFit regulatory compliance and territorial analysis module
- [Land Cover Analysis](https://docs.fitai.fr/en/audit/land-cover): Land Cover distribution across your territory
- [Urban Heat Island Analysis](https://docs.fitai.fr/en/audit/icu): Identify urban overheating zones across your territory
- [Bespoke expertise](https://docs.fitai.fr/en/audit/expertise-donnees): Bespoke geographic data engineering service
- [Download your data](https://docs.fitai.fr/en/guides/download-data): Guide to downloading CartograFit data files
- [Install the QGIS MCP](https://docs.fitai.fr/en/guides/qgis-mcp): Connect an AI assistant to QGIS to drive your CartograFit datasets in natural language
- [Overview](https://docs.fitai.fr/en/types): Overview of CartograFit geographic data types
- [H3 Cells](https://docs.fitai.fr/en/types/h3-cell): Parking statistics aggregated by H3 hexagonal area
- [Roads](https://docs.fitai.fr/en/types/road): Roads enriched with parking metadata
- [Road segments](https://docs.fitai.fr/en/types/road-segment): Individual road segments with detailed parking density
- [Parking areas](https://docs.fitai.fr/en/types/parking-area): Parking locations with capacity estimation
- [Parking lots](https://docs.fitai.fr/en/types/parking-lot): Surface parking lots mapped from HD satellite imagery
- [Street furniture](https://docs.fitai.fr/en/types/urban-furniture): Street furniture identified by our algorithms from field and satellite imagery
- [Road signs](https://docs.fitai.fr/en/types/traffic-sign): Road signs related to parking
- [Road markings](https://docs.fitai.fr/en/types/road-marking): Mapped road markings