Researchers
The full real estate dataset, covering buildings, transactions and vehicles, ready for research and market analysis.
Publish market analysis you can defend.
Credible research means tracking prices and transactions, comparing vehicles and publishing findings that hold up to scrutiny. Today most of the project budget goes to assembling the data: real estate figures are fragmented across cantons, registries and disclosures, transaction and rent series need constant manual refresh, and listed and non-listed vehicles only line up after reconciling disclosures that were never meant to match. A finding is only as defensible as the dataset behind it, and an ad-hoc dataset is hard to defend.
Start from data, not collection
Transaction and rent series are maintained and refreshed as new figures are published, so a project starts from current data instead of spending its budget assembling it.
Compare listed and direct on one basis
Look-through to the buildings inside 140+ Swiss REIVs lets listed and directly held vehicles be compared on the same dataset, without reconciling disclosures by hand.
Defend the dataset behind the finding
The full Swiss building dataset, CHF 5T+ in indexed asset value with 400+ fields per asset, is structured, queryable and documented in coverage and methodology, so a published figure can be sourced.
Move a result straight into the paper
Custom dashboards and exports take a finding directly into a paper or a market note rather than into another round of data collection.
How researchers use Quanthome

Track institutional Swiss deals as they close, pull a comparable set matched to the asset on type, location and size, and save the screen so the next deal is a refresh, not a rebuild.
Explore use caseCompare any real estate investment vehicle against named indices or a custom peer set across financials, ESG, debt, tenants and asset allocation, and save the peer set so the next review is a refresh, not a rebuild.
Explore use caseScreen every REIV against criteria that fit the mandate, benchmark against any index, and save the screen so the next review is a refresh, not a rebuild.
Explore use caseDescribe the question in plain language, get a dashboard that combines your data and Quanthome market data in seconds, and keep it live so the next answer is a refresh, not a rebuild.
Explore use caseBenchmark every dwelling against current market quantiles, rank the rent and value gaps across the portfolio, and save the benchmark so the next review is a refresh, not a rebuild.
Explore use caseThe products researchers use
Quanthome Platform is the fit for research: a queryable workbench over the full building, transaction and vehicle dataset, with saved screens. API & MCP exports that same dataset straight into your team's own models and tools, and Quanthome AI answers a research question as a dashboard built over that same dataset. The same data underpins Quanthome's own market work, so a research finding rests on the dataset Quanthome's analysts work from every day.
The dataset behind Quanthome's own market analysis
Research teams query the same maintained dataset Quanthome's own analysts use, so a published finding rests on documented coverage rather than a one-off collection.

- CHF 5T+Asset value of buildings indexed
- CHF 250B+NAV across funds and vehicles
- 400+Data fields per asset
Questions we hear most
Can we cite Quanthome data in published research?
Yes. Quanthome's coverage and methodology are documented so figures can be sourced and defended.
How current are the transaction and rent series?
Series are maintained and refreshed as new data is published, so analysis starts from current data rather than a manual collection step.
Can we export the dataset for our own models?
Yes. Quanthome Platform supports saved screens and custom dashboards, and API & MCP exports the dataset straight into your own models and tools, so it moves directly into your analysis.
Book a working session
Bring a research question. We will show you the data behind it.
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