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Real-estate data operator · 2024 · B2B SaaS

Real-estate data,
shaped for investment decisions

An AI analytics platform that aggregates massive real-estate market data and delivers objective market insight to investors. A personalized recommendation system places investment decisions on top of data.

B2B · Real estate · Analytics
01 — CHALLENGE

Real-estate investing isn't a problem of too much information — it's a problem of scattered information.

Actual transaction prices, market quotes, listings, location analysis, permits and approvals all lived in different places. The investor pulled them together every single time, with decisions ultimately falling back on 'feel.'

Existing tools could show data but few could say, 'and here's what this means for you.'

02 — APPROACH

We aggregated the scattered data into one place, generated market insights with AI, and added per-user recommendations — all inside one platform.

Transaction prices, quotes, listings, location and permits gather centrally, with AI analysis turning them into market insight. Not just numbers — 'what's actually happening in this area right now' joins the readout.

Investor profile, capital size and area of interest combine to produce personalized recommendations, with portfolio construction visualized on data.

03 — STACK

Stack.

01

React · Spring Boot

Data-visualization UI and analytics backend split.

02

Java · AWS

Data collection, normalization and storage in one backend.

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