Lycaon Data
Available today: São Paulo, BrazilAvailable by the end of the year: Rio and Paris

Decide where and what to build, from the data.

Real estate analysis platform powered by econometric models. Continuous analysis of more than 200,000 properties in São Paulo.

+250,000properties analyzed
461econometric models
4geographic levels

The real estate market relies on averages. We provide the models that really explain prices.

The conventional approach

  • Average price per neighborhood
  • Static analysis
  • No isolation of the real impact of each characteristic
  • Blind to neighborhood effects

The Lycaon Data approach

  • Analysis across 4 levels of geographic granularity: city, sub-prefectures, districts, neighborhoods.
  • Full statistical distribution D1 to D9, monthly evolution, typology, amenities
  • Isolated impact of each characteristic (surface area, suite, garage, pool, and more) compared to the city average
  • Price mimicry coefficient to arbitrate between alignment and differentiation
  • Socio-economic profile across 6 dimensions + population, area, density, demographic growth
  • Side-by-side comparison of two zones

Knowing that the median price in Pinheiros is R$17,201/m² is a starting point. Knowing that in this area a 10% increase in surface area generates +8.4% on price, 1.33× the city average, and that the neighborhood effect is weak there (mimicry coefficient 0.07), lets you decide concretely: prioritize surface area, differentiate your product, don't align with the neighborhood.

Lycaon Data provides these decisions, not just a reading of the market.

Four layers of analysis, one single model.

01

Mapping & descriptive indicators

Interactive heatmap across 4 levels of granularity. Full statistical distribution, typological analysis, amenities analysis, monthly price evolution.

Innovation
02

Real estate project optimization

Three core econometric models: key valuation factors (% impact per characteristic), price mimicry (spatial dependence coefficient) and the effect of urban amenities (% impact by proximity, at city level).

Each analysis comes with a confidence index and the sample size.

03

Socio-economic profile

Quality-of-life scores across 6 dimensions (health, safety, wealth, education, job diversity, housing) + population, density, demographic growth.

04

Comparison between zones

Side-by-side analysis of two zones at any geographic level. Synchronized visualization of prices, surface areas, typology, amenities, optimization and socio-economic profile.

Export any analysis as a custom PDF, to present directly in your investment committees or acquisition files.

The platform in action.

Demo based on real data from São Paulo.

Workspace

Organize your analyses around your projects.

Create a project from your real estate product's location, link the relevant market zones to it, and centralize your team's decisions in a single space.

Discover the Projects space

How developers use Lycaon Data.

Case 01

Before land acquisition

Quick validation of a zone via the heatmap + statistical distribution D1 to D9 + amenities analysis (proximity to metros, favelas).

Output: median price, interquartile range, socio-economic context of the zone.

Case 02

Defining the product program

Optimization module -> Key factors. Identify the price impact of each characteristic (surface area, suite, garage, pool) for the target neighborhood.

Output: % impact per characteristic + confidence index + sample size.

Case 03

Positioning strategy

Optimization module -> Price mimicry. Measure spatial dependence to decide: align with the neighborhood (strong mimicry) or differentiate (weak mimicry).

Output: coefficient + interpretation + confidence index.

Continuous updates

The market evolves. So do your analyses.

  1. 01

    Continuous addition of new data

    Our database grows continuously. As time goes by, the analysis becomes more precise: new neighborhoods covered, refined granularity, consolidated market history.

  2. 02

    Models readjusted to the market

    The econometric models are readjusted regularly to track market dynamics. A frozen valuation coefficient loses its value within a few quarters.

  3. 03

    New statistical analyses

    New analysis modules regularly enrich the platform. Your subscription follows these developments at no extra cost.

Our advice: check your Databoard every month to capture these updates and keep your analyses aligned with the market.

A plan for every team size.

Individual

For independent professionals

1 245 R$/month

billed annually

Sign up
Most popular

Premium

For teams of 2 to 10

1 992 R$/month

billed annually · 2 users included

Sign up

See full pricing ->

Your city isn't covered yet?

The Databoard platform is currently open in São Paulo (Brazil). We are progressively deploying our models to other markets. Sign up for the waitlist to be informed first when we open in your city.

Talk to the team