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Case 05Real Estate

Real estate and development feasibility platform

An MVP that compresses the slow, manual first pass of feasibility research into a fast read on a property's upside.

Isometric schematic of a property parcel with a rising development massing volume and a highlighted top floor.
About the client

A real estate operator and developer curious whether AI could help homeowners and developers get a faster read on property value, zoning potential, and development feasibility.

01

The problem

Development starts with a mountain of manual research. Before anyone knows whether a project pencils out, they're slogging through zoning rules, comparable sales, property data, market assumptions, and financial models.

Most of it lived in spreadsheets, built by hand.

02

What we explored

We scoped an MVP for a platform that could size up a property's development potential quickly — something to compress that early feasibility step and tell a user whether a property had real upside.

The first version stuck to a single market, which kept the zoning logic manageable and let us prove the concept before scaling it out.

03

The solution

A development feasibility tool that could:

  • 01Pull property and market data
  • 02Estimate current property value
  • 03Assess zoning and development potential
  • 04Spit out quick feasibility outputs
  • 05Retire the manual Excel models
  • 06Let developers screen opportunities faster
  • 07Help homeowners spot value hiding in their own land
04

Impact

The idea was to make that first pass of real estate analysis faster, clearer, and more accessible — for the developer and the property owner alike.

05

Why this matters

Real estate runs on data, but the opening stretch of research is slow and manual. AI can collapse that first layer so teams can spend their energy on the deals genuinely worth chasing.