AI + data platform for financial decision-making

Propyze: an AI-Powered Platform for Real Estate Investment Analysis

At Lundy, we encourage our engineers to go beyond writing code.

We challenge them to build real products that solve real problems.

One of the most interesting projects to come out of our internal product initiative was Propyze — a real estate investment analysis platform designed to help property investors make smarter, data-driven decisions.

Built by a distributed team of engineers across Latin America, Propyze combines data analysis, automation, and AI-powered insights to simplify how investors evaluate property opportunities.

The Problem: Real Estate Decisions Often Lack Data

Property investment is one of the most common ways people build wealth.

But surprisingly, many investment decisions are still made based on:

rough calculations
fragmented information
intuition rather than structured analysis

Investors often need to manually gather data from multiple sources and run their own calculations to determine whether a property is worth buying.

The Propyze team wanted to change that.

Their goal was to create a platform that could transform raw property data into clear financial insights.

What is Propyze?

Propyze is a real estate investment analysis platform designed for property investors who want to evaluate opportunities with greater clarity.

Instead of manually analyzing spreadsheets or scattered data sources, the platform helps users:

analyze potential property investments
evaluate financial viability
generate structured reports
understand projected returns

The system processes relevant information and produces clear, data-backed insights that help investors make more informed decisions.

The training significantly improved my technical confidence and made me much more comfortable expressing my ideas in technical discussions.

Nicolás Hernández

Software Engineer, Oracle

The Team Behind the Platform

Propyze was developed by a team of engineers with diverse technical backgrounds.

Nicolas Hernández
Full Stack Software Engineer at Oracle with over five years of experience, based in Uruguay.

Cristian Funck
Backend Engineer with more than four years of experience, based in Chile.

Verónica Santos
Data and Automations Engineer with over twelve years of experience, also based in Chile.

Together, they combined expertise in backend systems, data pipelines, and automation to build a platform capable of transforming raw property data into meaningful insights.

Building the Platform with Lovable

The team chose Lovable as the foundation for developing the product.

Using modern development tools and a modular architecture, they designed a system capable of:

processing investment-related data
generating financial projections
delivering structured investment reports
providing insights that support decision-making

The platform was built with a strong emphasis on data quality and clarity.

Instead of simply presenting raw numbers, Propyze focuses on delivering interpretable insights that investors can actually use.

From Data to Insight

One of the most distinctive aspects of Propyze is its focus on analysis rather than just information.

Many tools simply aggregate property data.

Propyze goes further by generating structured reports and analytical insights that help investors understand the financial implications of their decisions.

This approach allows users to move from:

Raw data → structured analysis → informed investment decisions.

A Product That Stood Out

During the final project presentations, Propyze stood out for its focus on financial clarity and analytical depth.

One evaluator highlighted exactly what made the project different:

“Their solution goes beyond just offering a product — they provide valuable data analysis and generate insightful reports. This allows users to make decisions supported by structured information, which often brings greater clarity, especially when it comes to financial investments.”

This emphasis on data-driven decision-making was a key factor that made the project stand out.

Why Projects Like Propyze Matter

Projects like Propyze demonstrate the power of combining software engineering, data analysis, and AI-driven tools.

For the engineers involved, the experience went far beyond coding features.

They worked through the full lifecycle of building a product:

defining the problem
designing the architecture
building data pipelines
creating user-facing insights
presenting the solution publicly

This kind of project mirrors the realities of building technology products in modern startups and scaleups.

Engineering Products That Solve Real Problems

Propyze is a great example of what happens when talented engineers are given the opportunity to build products with real-world relevance.

By combining modern development tools, data engineering, and thoughtful product design, the team created a platform capable of turning complex financial data into meaningful insights.

And more importantly, they demonstrated the kind of engineering thinking required to build data-driven products that support smarter decisions.