Our approach
FIT.ai is a data aggregator. We bring order to the chaos of multiple sources and signals to produce a digital cadastre of public space: structured, scored, ready-to-use data where information today is scattered, heterogeneous or simply missing.
At the heart of this approach: Argos, our data factory, and CartograFit, our distribution platform.
Argos, our data factory
Argos is the core of our product. It is the engine that aggregates multiple sources and signals, then refines, scores, sorts and structures them to produce versioned, ready-to-use geographic datasets.
Multiple sources & signals CartograFit
─────────────────────────── ┌─────────────┐ ─────────────────────
Field & satellite imagery │ │ Versioned datasets
Open data ────▶│ Argos │────▶ 12 qualified layers
Fit Mobile signals │ (the factory)│ Trust Score (0–1)
Fit Rover field capture │ │ Basemaps & analyses
... └─────────────┘
Argos turns heterogeneous raw material into a homogeneous, reliable product. Every element delivered carries a Trust Score (0 to 1) and stays separated by source (field and satellite) to guarantee traceability.
A production and refinement chain
The data follows a clear chain, from raw input to delivered dataset:
- Aggregate — bring together multiple sources and signals across your territory.
- Refine — clean, deduplicate, geographically realign.
- Score — assign a Trust Score to each element.
- Sort — split by layer, by type and by source.
- Structure — produce consistent layers with a stable schema.
- Version — freeze a dated, deliverable and reproducible version.
- Deliver — make available through CartograFit, in open formats.
Argos is the factory; CartograFit is the storefront where you retrieve the versioned datasets.
Continuous innovation
Argos evolves constantly. Every improvement to our algorithms translates directly into better quality and better coverage of your datasets:
- New areas covered
- Improved accuracy
- New enriched attributes
- New data layers
This is the value of the subscription: your data keeps improving on its own, with no action required from you. Our R&D is built to scale on the number of sources and signals we integrate — the more inputs we plug in, the richer the dataset becomes.
The Fit Mobile feedback loop
Fit Mobile, our GPS parking-assistance app, gives us eyes on the road. Every trip, every piece of user feedback sends back a fresh signal that enriches the CartograFit dataset and feeds Argos.
This is a feedback loop: the more usage grows, the more precise the data becomes — and the more precise the data, the more useful the service. The field validates the data, continuously.
Fit Rover: field capture
Fit Rover is our first-party field capture service. An instrumented vehicle covers your territory to bring back fresh, high-quality data that feeds Argos.
Why Fit Rover?
- Maximum coverage: an exhaustive pass over your territory
- Fresh data: recent information for precise data
- Continuous enrichment: every campaign improves the quality of your datasets
Temporal analysis
Our data is not just a snapshot at a single point in time. Thanks to our continuous history infrastructure, we can track the evolution of your territory over several years:
- Before/after comparison: measure the impact of your development programs
- Land take tracking: observe Land Cover changes over time
- Evolution indicators: quantify the transformations of your public space
This temporal tracking capability is especially valued in the context of urban renewal programs (ANRU, ACV) or regulatory compliance (ZAN).
FIT.ai, a customer of its own platform
We use our own CartograFit datasets to build Fit Mobile. This approach guarantees that our data is tested in real-world conditions and that its quality meets the most demanding standards — and it closes the feedback loop that keeps enriching Argos.