Automate Your Business Case
Our configurator combines project costs, time schedules and expected revenues to automatically generate a discounted cash flow (DCF) model that is tailored to the specific deal structure, equity share and exit scenario of your business case.
Rabbit Real Estate & ZHAW win Innosuisse SME Innovation Project Grant
We are thrilled to announce that, together with our colleagues Konrad Graser, Evangelos Pantazis, Ph.D. & Pavel Sulimov from the ZHAW Zurich University of Applied Sciences, Rabbit Real Estate has been selected for an innovation project grant from the Swiss Innovation Agency Innosuisse. The purpose of the grant is to co-develop a digital end-to-end configurator for residential real estate development.
Rabbit Real Estate @ ZHAW
In November 2025 our co-founder Furio Valerio Sordini had the privilege of introducing members of the ZHAW CAS in Machine Intelligence course to Rabbit Real Estate and our digitally-integrated workflow.
Himself an alumnus of the ZHAW's MAS in Data Science, Furio shared insights into how we use various Python and machine learning tools in our end-to-end configurator for multi-family homes in systematised timber construction.
Project Revenues with Confidence
Projected revenues drive real estate projects. And yet, at the project outset, revenue estimates often rely on a whole host of assumptions, such as floor plan efficiency and an arbitrary unit mix. We want to sharpen those assumptions in a systematic and data-driven way.
Top-down & Bottom-up
Optimising a housing project is a complex, iterative process. It requires a great deal of fine-tuning and cross-scalar trade-offs between different goals and parameters. Our configurator helps expedite this by automating and evaluating iterations according to a scoring system.
Automated Bill of Quantities
Prefabricated and systematised construction goes hand-in-hand with precise bills of quantities and element-based analyses. Gone are the days when projects had to rely on imprecise area and volume benchmarks that throw together different construction trades, materials and supply-chains.
Configure. Automate. Optimise.
Our Python-based configurator uses a kit-of-parts to generate a wide range of potential floor plan solutions based on project inputs (target unit mix & sizes, plot geometry and the maximum realisable area or volume) within minutes.