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.

Thanks to our partnership with Semanta.ai, Rabbit Real Estate delivers precise revenue estimates from the very first feasibility study. Semanta.ai collects millions of real estate advertisements, enabling market-based revenue and trend estimates per sqm, unit type and location.

Together with our configurator and kit-of-parts, which generate functional floor plans for various unit mixes and sizes, we can calculate precise revenue estimates. This allows for better-informed decisions regarding programme, floor area efficiency and the choice of design options to optimise the business case.

No Surprises

It's not implied by our name for nothing - we value speed. Not at the expense of quality, but in combination with agility, well-informed decision-making and foresight. In combination with a kit-of-parts, our scalable, industrialised construction approach allows us to plan ahead and do exactly that.
We match the automated bill of quantities from our configurator in the temporal dimension with production and assembly times for each on-site construction trade and off-site building element to produce dependable scheduling estimates at the feasibility study stage. Whilst these are not set in stone, they provide an early basis for refinement together with our delivery partners throughout the planning process - enhancing predictability and reducing risk.

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.
With our configurator and a kit-of-parts, we can accurately generate BoQs at the feasibility study stage and know exactly what goes into a project - element by element.

Stay tuned to see how we tie these to automated element-based cost, LCA and construction time estimates - all at a feasibility study stage.

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. This automated process includes key output metrics such as floor area categories, unit and room sizes.

Stay tuned to see how we use this approach to further optimise floor area efficiency and economic performance, as well as providing reliable data on costs, LCA and construction time - all at a feasibility study stage.

Welcome to Mass Customisation in Real Estate

𝖶𝗂𝗍𝗁 𝖺 𝗉𝗋𝖾-𝖽𝖾𝗌𝗂𝗀𝗇𝖾𝖽 𝗌𝗒𝗌𝗍𝖾𝗆, 𝗐𝖾 𝖺𝗋𝖾 𝖺𝖻𝗅𝖾 𝗍𝗈 𝖼𝗈𝗇𝖿𝗂𝗀𝗎𝗋𝖾 𝖺𝗇𝖽 𝖼𝗁𝗈𝗈𝗌𝖾 𝖿𝗋𝗈𝗆 𝗍𝗁𝗈𝗎𝗌𝖺𝗇𝖽𝗌 𝗈𝖿 𝗉𝗈𝗍𝖾𝗇𝗍𝗂𝖺𝗅 𝗁𝗈𝗎𝗌𝗂𝗇𝗀 𝗎𝗇𝗂𝗍 𝗅𝖺𝗒𝗈𝗎𝗍𝗌𝗀𝖾𝗇𝖾𝗋𝖺𝗍𝖾𝖽 𝖿𝗋𝗈𝗆 𝖺 𝗌𝗂𝗇𝗀𝗅𝖾 𝗄𝗂𝗍-𝗈𝖿-𝗉𝖺𝗋𝗍𝗌.

𝖳𝗁𝗂𝗌 𝖺𝗅𝗅𝗈𝗐𝗌 𝗎𝗌 𝗍𝗈 𝗊𝗎𝗂𝖼𝗄𝗅𝗒 𝖾𝗏𝖺𝗅𝗎𝖺𝗍𝖾 𝗍𝗁𝖾 𝖿𝗎𝗅𝗅 𝗋𝖺𝗇𝗀𝖾 𝗈𝖿 𝖺𝗏𝖺𝗂𝗅𝖺𝖻𝗅𝖾 𝗈𝗉𝗍𝗂𝗈𝗇𝗌 𝗂𝗇 𝖺𝗇 𝖾𝖺𝗋𝗅𝗒 𝗌𝗍𝗋𝖺𝗍𝖾𝗀𝗂𝖼 𝗉𝗁𝖺𝗌𝖾 𝗂𝗇 𝗈𝗋𝖽𝖾𝗋 𝗍𝗈 𝗆𝖺𝗄𝖾𝖻𝖾𝗍𝗍𝖾𝗋-𝗂𝗇𝖿𝗈𝗋𝗆𝖾𝖽 𝖽𝖾𝖼𝗂𝗌𝗂𝗈𝗇𝗌.