Company lists · Data refreshed September 2026

Top 10 Big data startups property companies based in Brazil

RevenueBase identified 46 big data startups property companies headquartered in Brazil as of September 2026 and tracks 457 professional contacts across them, including 28 with verified work emails and 5 with mobile numbers. Sao Paulo is the largest hub.

This list covers big data startups property companies headquartered in Brazil, matched on what each company actually does as described in its own words. Ranked by team size, largest first. Every row shows the company's own description, its RevenueBase Smart Search rating, and when it was last checked. Data refreshed September 7, 2026.

Published by RevenueBase, a B2B data infrastructure company. This list was built with RevenueBase Smart Search, the natural-language company search RevenueBase customers use to build their own targeted lists and unlock verified emails and direct dials at the companies on them. How these lists are built and judged.

How to read this list HQ checked on every row RevenueBase Smart Search rating on every row Refreshed Sep 7, 2026 86% judged on-target in blind review
46Companies
457Contacts tracked
28Verified emails
5Mobile numbers
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The 10 largest big data startups property companies based in Brazil

Ranked by team size
Top 10 of 46 big data startups property companies based in Brazil, ranked by team size, largest first. Data refreshed Sep 7, 2026. RevenueBase Smart Search rates how each company's information relates to big data startups property companies: strong evidence (its own description names it), partial (names part of it), indirect (matched on the rest of its profile rather than the description shown). Click a contact count to view that company's people.
#CompanyRevenueBase Smart SearchHeadquartersEmployeesContacts
1Indirect evidenceChapecó, BrazilHQ checked Sep 7, 2026n/a31 contacts →

“Somos uma empresa focada em entregar inteligência e assertividade em negócios imobiliários.”

Source: company website · checked Sep 7, 2026
2Indirect evidenceSão Paulo, BrazilHQ checked Sep 7, 202611-5030 contacts →

“Somos uma plataforma de tecnologia imobiliária focada em conectar construtoras, corretores e proprietários por meio de dados, automação e inteligência comercial.”

Source: company website · checked Sep 7, 2026
3Indirect evidenceMaceió, BrazilHQ checked Sep 7, 202611-5025 contacts →

“Nossa força reside na inovação e assertividade, impulsionadas por tecnologia de ponta, que transforma dados em informações valiosas.”

Source: company website · checked Sep 7, 2026
4Indirect evidenceBrasilia, BrazilHQ checked Sep 7, 202611-504 contacts →

“A Sihmma é uma empresa de desenvolvimento de softwares que atende em todo o Brasil segmentos corporativos e privados oferecendo software de gestão especializado para o mercado…”

Source: company website · checked Sep 7, 2026
5Indirect evidenceRio De Janeiro, BrazilHQ checked Sep 7, 20261-104 contacts →

“Sistema personalizado de avaliação online e inteligência imobiliária para corretores, profissionais e empresas do mercado imobiliário.”

Source: company website · checked Sep 7, 2026
6Indirect evidenceBalneário Camboriú, BrazilHQ checked Sep 7, 20261-102 contacts →

“A SAGAPES nasce com o propósito de ser uma companhia de Inteligência Imobiliária, com objetivo de atender o mercado desde a identificação de oportunidades no mercado, estruturação…”

Source: company website · checked Sep 7, 2026
7Indirect evidenceSao Bernardo Do Campo, BrazilHQ checked Sep 7, 202611-502 contacts →

“Desde 1989, a Sistemas Profissionais vem desenvolvendo sistemas para imobiliárias, com a finalidade de atender as necessidades das imobiliárias, administradoras de imóveis e de…”

Source: company website · checked Sep 7, 2026
8Indirect evidenceCampinas, BrazilHQ checked Sep 7, 202611-501 contacts →

“A Vendih acredita na gestão inteligente como motor para acelerar vendas no mercado imobiliário.”

Source: company website · checked Sep 7, 2026
9Indirect evidenceRio De Janeiro, BrazilHQ checked Sep 7, 20261-101 contacts →

“Crystall enhances real estate analysis with AI-driven custom KPIs, interactive document insights, and comprehensive market analysis.”

Source: company website · checked Sep 7, 2026
10Partial evidenceBelo Horizonte, BrazilHQ checked Sep 7, 20261-101 contacts →

“Kapputo provides real estate intelligence through data, analytics and reports.”

Source: company website · checked Sep 7, 2026

Showing 10 of 46 big data startups property companies based in Brazil

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Big data startups property companies based in Brazil at a glance

As of Sep 7, 2026
6.1%Verified-email coverage
1.1%Mobile-number coverage
9.9Average contacts per company
1-10Median size (employees)
26.1%Largest-city concentration · Sao Paulo
Sep 7, 2026Page data refreshed

Companies by employee count

1-10
31
11-50
13
51-200
1
501-1,000
1

Freshness & accuracy

How recently the business emails on this list were verified

Email last verified

How this list was built

Company categories are rarely black and white. RevenueBase reads each company's own description of its business to decide whether it belongs among big data startups property companies, so some rows will be adjacent to the category rather than pure plays. The description and RevenueBase Smart Search rating on every row are there so you can check each match yourself.

Source
The RevenueBase company graph: 60 million companies and 398.9 million professional contacts resolved from primary sources, queried with RevenueBase Smart Search, the natural-language company search available to every RevenueBase user.
What qualifies
Companies headquartered in Brazil whose own description of what they do matches “big data startups property companies”. Matching reads each company's description, not its industry code or its name.
RevenueBase Smart Search
RevenueBase Smart Search is how this list is assembled and how each row is rated. RevenueBase's data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to a category defined in a user's own words. Each row is rated strong evidence (its own description names big data startups property companies), partial evidence (it names part of the category) or indirect evidence (the description shown names none of it and the match rests on the rest of the company's profile). The description supporting each rating is quoted on the row.
What we exclude
Companies whose own description does not clearly place them among big data startups property companies, and records with no verified work email. Companies headquartered outside Brazil are excluded even when they keep an office there.
Match quality
In blind human judging of this matching method, 86% of matched companies were on target. Expect roughly 1 in 7 rows to be adjacent to the category rather than a pure play. Every row shows the company's own description and its RevenueBase Smart Search rating so you can judge each match yourself. Read the full methodology: how the lists are built, how the judging worked, and what the figure means.
Ranking
Team size, largest first: companies are ordered by the number of professionals RevenueBase tracks at each one. Employee ranges shown are reported bands, for context.
Verification
Every listed company carries at least one verified work email, 28 across the full list. Contacts re-verify on a rolling cadence, and each contact's own verification date is shown inside RevenueBase.
Refresh
This page's figures were pulled from the company graph on September 7, 2026. Lists refresh periodically as the graph is re-checked.
Corrections
Wrong category, wrong headquarters, or a company that has closed? Use “Report an issue” on any row. Reports go to the RevenueBase Data Team and feed back into the company graph.

Frequently asked

What is RevenueBase Smart Search?

RevenueBase Smart Search is how RevenueBase decides which companies belong on this list and how strongly each one fits. Its data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to the category the list is about. Each row is rated strong evidence when the company's own description names big data startups property companies, partial evidence when it names part of the category, and indirect evidence when the description shown names none of it and the match rests on the rest of the company's profile.

How many big data startups property companies are there based in Brazil?

RevenueBase identified 46 big data startups property companies headquartered in Brazil as of September 2026, matched on each company's own description of what it does rather than its industry code.

What is the largest company on this list?

NÓS Investimentos, headquartered in Chapeco, tops this list with the largest team on record.

Which city has the most big data startups property companies?

Sao Paulo leads with 12 headquartered companies, followed by Rio De Janeiro (4) and Belo Horizonte (2).

How do I get contact information for these companies?

A free RevenueBase account lets you run this exact search and work the top results, verified emails and direct dials included. Upgrading unlocks all 28 verified decision-maker contacts tracked across these 46 companies.

How current is this list?

The list refreshes periodically as the company graph is re-checked. This page's figures were pulled on September 7, 2026.

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About this data

RevenueBase is a B2B data infrastructure company. Its company graph covers 60 million companies and 398.9 million professional contacts, with emails verified on a rolling cadence rather than scraped once and left to decay. These company lists are generated directly from that graph with RevenueBase Smart Search, the same natural-language company search every RevenueBase user has: describe a market in plain words, get the companies that match, and add verified emails and direct dials for the people at them. It is the same data that powers RevenueBase's B2B data products, and a free account includes 500 credits to start. How these lists are built and judged.