L o a d i n g

AI-Powered Real Estate & Rental Platform Development

Full Product Development

AI Development

UI/UX Audit

About the Client

Our client is an entrepreneur based in Costa Rica with a deep understanding of the
local real estate and rental market. Having experienced firsthand the limitations of
global rental platforms, he identified a clear gap — Costa Rica needed its own
AI-powered real estate marketplace built around local lifestyle and needs.

Industry:

  • Proptech / Real Estate

Country:

  • Costa Rica

Team:

  • CTO
  • Project Manager
  • Frontend Developer
  • Backend Developer
  • AI Engineer
  • QA Engineer

Client:

Time Frame:

  • 4 months

Partnership
Story

The client had been living in Costa Rica for years. Long enough to understand the market from the inside, how people actually find properties, how landlords operate, and where existing platforms fall short.

Global rental platforms dominate the market, but they are built for everyone, which means they are built for no one in particular. They don’t understand the lifestyle behind a Costa Rica rental. They don’t speak to the specific towns, the culture, or the way people actually decide where to live or stay.

The client had a clear vision of what needed to exist. He partnered with a design agency to shape the product’s identity — and that agency referred him to us as the development partner to bring it to life technically.

During the first intro meeting, the scope became clear — a lifestyle-first, AI-powered real estate marketplace built specifically for Costa Rica, covering rentals, property sales, and realtor tools under one platform. We saw the potential in the idea immediately and aligned on the vision from day one. We defined the approach, assembled the right team, and started building. Four months later, ZIVO officially launched.

About
the Project

Challenge

ZIVO was built as an AI real estate rental platform serving property owners, renters, buyers, and realtors within a single system. Building it required solving several core scalability and AI infrastructure challenges.

The platform needed to handle a large and continuously growing volume of property listings without any impact on performance, as well as support real-time conversational AI property search with concurrent user requests.

The system had to support a multi-role architecture serving property owners, renters, buyers, and realtors within a single platform — each with distinct permissions, workflows, and functionality — while ensuring consistent behavior and data integrity across all user types.

The platform also needed a self-serve advertisement system allowing local Costa Rica businesses to create and place ads across specific platform pages — expanding ZIVO’s value beyond property listings and creating an additional revenue stream for the platform.

Finally, a comprehensive admin analytics dashboard was required — giving the platform owner full visibility into key metrics including active listings, registered users, realtor activity, and platform growth — all in real time.

Building the AI-Powered Real Estate Rental Platform

The AI real estate rental platform follows a multi-role architecture, supporting property owners, renters, buyers, and realtors within one system while maintaining clear role separation and consistent data flow.

Property Owners

Landlords can create and manage listings with AI-assisted generation of property titles and descriptions, improving speed and consistency across the platform.

Renters & Buyers

Users access a lifestyle-driven real estate platform where property discovery is guided by AI-assisted matching rather than static filters, enabling more relevant results.

Realtors

Realtors operate with AI-supported lead prioritisation and structured workflows, improving response efficiency and opportunity handling.

AI Layer

ZIVO integrates an AI layer that powers core platform interactions, including property search, content generation, and decision support.

The system enables conversational AI property search, allowing users to describe what they are looking for in natural language and receive relevant property matches in real time.

It also supports automated generation of property descriptions and titles, ensuring consistent and structured listing content across the platform.

In addition, the AI layer supports lead prioritisation for realtors by analysing user intent and interaction signals to surface more relevant opportunities.

Tech Stack

ZIVO was built using Next.js and Sanity CMS, chosen to support a scalable,
content-driven, and AI-enabled real estate marketplace.

Next.js

was used for a fast, scalable frontend with server-side rendering and dynamic routing for listings, dashboards, and marketplace pages.

Sanity CMS

served as a headless CMS managing structured property data, cities, and dynamic
marketplace content with AI descriptions.

OpenAI

powers the AI layer — conversational property search, automated listing content, and intelligent lead scoring for realtors.

Together, this stack provided a lightweight but scalable foundation for handling large
volumes of listings, dynamic content, and AI-driven functionality across the platform.

AI-native development team
delivering 3x faster

Building ZIVO with an AI-native development team significantly impacted the
project’s timeline and cost. Using AI-powered development tools throughout the
entire build, from architecture planning to code generation, testing, and QA,
our engineers delivered the platform in a fraction of the time a traditional
development team would require.

A project of this complexity would typically take three times longer to scope,
estimate, and deliver without AI at the core of the development process.

Key Outcomes

Delivered a scalable AI-powered rental marketplace supporting multiple user roles in one system.

Reduced development costs by 3x through AI-assisted delivery across coding, testing, and QA processes.

Enabled conversational property search, improving how users discover and interact with listings.

Established a flexible marketplace foundation ready for expansion, integrations, and AI features.

Altum Software - CEO Oleg Dumych

Clutch proves we craft outstanding digital products.

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