The problem
Assessing a rental property means cross-checking information scattered across dozens of public sources — with no single entry point.
- Price compared with the local market
- Potential rental yield
- Transport and nearby amenities
- Energy performance (EPC)
- Risks: clay, seismic, flood
- Neighbourhood demographics
- Local tax and Pinel zoning
How it works
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1
Public data, combined
Each property is geolocated, then matched against a dozen open datasets: actual sales, rents, transport stops, energy certificates, hazard zones...
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2
12 dimensions scored out of 10
Yield, transport, risks, energy, shops, health, schools, price trend, demographics, neighbourhood, tax, business activity.
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3
A score that fits your strategy
Yield, safety, growth or tax: the chosen profile changes each dimension's weight — and every score stays traceable to its data.
The same property, for your profile
The same property, scored for each investor profile: each profile weights the 12 dimensions differently.
Growth · Montpellier 34000
This profile favours: Price trend 20 %, Transport 13 %, Business 13 %.
See the report with this profile →Safety · Montpellier 34000
This profile favours: Risks 20 %, Price trend 14 %, Transport 14 %.
See the report with this profile →Tax · Montpellier 34000
This profile favours: Tax 27 %, Yield 12 %, Energy 10 %.
See the report with this profile →Yield · Montpellier 34000
This profile favours: Yield 23 %, Energy 14 %, Shops 11 %.
See the report with this profile →What L'Ancura promises
- One comparable score Per property, instead of ten indicators to interpret separately.
- Transparent, not a black box The score breaks down into visible dimensions and is recomputed for your profile.
- Only verifiable public data No agency opinions, no commercial bias.
- Reproducible The pipeline re-runs whenever the sources are updated.
Compared with the alternatives
| Alternative | What it lacks |
|---|---|
| Listing portals | No real yield; asking prices ≠ actual sale prices |
| Yield calculators | A single criterion, no comparison between properties |
| Wealth management adviser | Expensive, rarely data-driven at national scale |
| Home-made spreadsheet | Time-consuming, no geospatial data, doesn't scale |
Frequently asked questions
Where does the data come from?
Only from official public sources: actual DVF sales (DGFiP), rents (SDES), energy certificates (ADEME), risks (Géorisques, BRGM), INSEE, transport networks. Every score shows its source data.
How often is it updated?
Whenever the sources publish: twice a year for DVF sales, continuously for energy certificates. Scores are recomputed at each update.
Is this investment advice?
No. L'Ancura provides quantified, sourced information to inform your decision. It does not recommend buying and earns no commission on sales.
Which areas are covered?
Any address in France can be scored. Properties already analysed are real 2024 sales in these départements: Haute-Garonne (31), Hérault (34). Elsewhere, some local dimensions may be missing.
What is in the PDF report?
The full report on A4: overall score, the 12 dimensions with their source data, transport access by mode and the scoring method.