Real estate analysis and econometric models for your projects.
Cartography, project optimization, socioeconomic profile, zone comparison. At 4 levels of granularity. With confidence index on advanced analyses.
Most tools on the market simply display average prices by neighborhood. Lycaon Data identifies what actually drives price variation, so every project, positioning, or acquisition decision is based on measurable causes, not averages.
See methodology in detail →Cartography & descriptive indicators
The entry point of the platform. An interactive heatmap to identify zones, compare trends and extract statistical indicators at 4 levels of granularity.
São Paulo heatmap, city level
Statistical distribution
4 levels of granularity
City, sub-prefectures, districts, neighborhoods.
Configurable filters
Market, property type, indicator (price, area), amenities.
Statistical distribution
D1, Q1, Median, Q3, D9, Average.
Monthly price trends
Time series by property type, with average, median, top 10% price options.
Typological analysis
Proportion of suites, bedrooms, parking spaces.
Amenities analysis
Parks, metros, favelas. Distance, travel time, distribution 0 to 2km+.
Real estate project optimization
Three econometric models to answer three questions no market average can answer: which feature of my project generates the most value, how much should my product differentiate from its environment, and which urban amenities add value to my zone.
Key value drivers
A 10% increase in surface generates +8.4% on price. 1.33 times the city average. In this area, surface is a key driver.
For each property feature (area, suite, garage, pool, gym, and more), the module isolates the pure impact on price, controlling for all other variables.
- +Impact in % per feature
- +Comparison to city average (e.g.: 1.33× the average)
- +Actionable textual interpretation
- +Analysis confidence index (R²)
- +Sample size
Price mimicry
Measures how much a property's price is determined by its environment (strong mimicry, coefficient near 0.25) or by its own characteristics (weak mimicry, coefficient near 0).
- +The mimicry coefficient on a scale of 0 to 0.25
- +A textual interpretation of the dynamic
- +The confidence index
- +The sample size
Weak neighborhood effect. The property's value rests on its own characteristics, not on the neighborhood average.
Urban amenities effect
Effect on prices, at city level
Proximity to Parque da Aclimação generates a +3% premium at 200–300m, reaching +21% within 50m.
Illustrative values, not representative.
Models the impact of proximity to an urban amenity (park, metro station, hospital, school...) on property sale prices, at the city level.
- +% value uplift by distance range (<50m to 2km+)
- +Textual interpretation of the decay curve
- +Confidence index and sample size
- +Comparison between multiple amenities
Socioeconomic profile
Cross market data with the territory's profile. Six quality-of-life dimensions and four demographic indicators to validate that your project fits the local context.
Overall quality of life score
Quality of life scores
Health, safety, wealth, education, employment diversity, housing. Scale 0 to 100, weighted overall score.
Demographic indicators
Total population, area, density, demographic growth.
Full granularity
Available at city, sub-prefecture, district and neighborhood levels.
Zone comparison
Compare two zones side by side, at any geographic level. All platform indicators and analyses displayed in parallel.
- Surface avg.150 m²
- Socio score87.7
- Spillover0.07
- Growth-0.45%
- Surface avg.197 m²+31%
- Socio score57.5-34%
- Spillover0.15+114%
- Growth2.11%+569%
The comparison brings together in a single view:
- +Descriptive indicators (average price, D1 to D9 distribution, areas, typology, amenities)
- +Optimization modules (key drivers, mimicry)
- +Socioeconomic profile (scores and demography)
- +Monthly price trends
Projects.
Organize your analyses around your concrete real estate projects, with the program and market zones relevant to them. Centralize context, decisions and team collaboration.
Tour Pinheiros
DraftSharedProject team
3 members, 1 owner, 1 editor, 1 viewer
Analysis zones
Guided creation
Market context pre-filled from your project's location (median price, key drivers, available sample).
Structured program
Typological mix, number of units, areas, parking, target price segment, delivery schedule.
Linked analysis zones
Associate multiple market zones with a project and compare them directly, without rerunning analyses manually.
Team collaborationPremium · Enterprise
Share the project with your team members with precise roles: owner, editor, reader.
Project status
Draft, shared, archived. Track your projects' lifecycle from conception to acquisition decision.
PDF reports for your professional contexts.
Every analysis exports as a document to present directly where the decision must be justified with rigor:
- Investment committees
- Land acquisition files
- Presentations to banks and investors