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Sailing through Neon Waves

We are Belém Labs, a group of developers, designers, data scientists, and product people exploring and building AI applications to address real world problems, with a focus on real estate.

Decoding the Dream Home: Why Finding the Right House is Messed Up (and How AI Might Fix It)

Buying a house is a huge deal, both financially and emotionally. It is likely one of the main financial commitments that one might make in their life. It is also one of the decisions that they might feel more insecure about. You'd think people would know exactly what they want, but I don't think that's always the case. It wasn't in mine, and I came to believe that's not in most people's case, and the way we search for homes online doesn't help.

Building the First Samwise Recommendation Algorithm

At Samwise, we set out to solve a common but complex problem in the real estate world: helping users find the most relevant properties quickly and efficiently. Instead of showing users a raw list of properties based on simple filters like price and location, we wanted to deliver something much more intelligent — an algorithm that would rank properties based on user preferences, predicted market dynamics, and recency. This is the story of how we built our first recommendation algorithm from scratch, the challenges we faced, and the solutions we developed along the way.

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Projects

  1. Company
    Casaimo (in development)
    Project
    Conversational Real Estate Agent from Search to Acquisition
    Date
  2. Company
    Samwise
    Project
    AI-Powered Real Estate Recommendation Experience
    Date
  3. Company
    The Home Evaluator
    Project
    AI-Driven Property Valuation Model
    Date
  4. Company
    The Properties Database
    Project
    Analytics on 90,000 Portuguese Properties
    Date