CARTO and Geoambiente are bringing Cloud-Native GIS to Brazil

Across Brazil, enterprises are running on modern cloud data stacks. They are analyzing customer behavior in BigQuery, modeling risk in Google Cloud, and building data products at scale. But when someone asks a location question, the answer is usually stuck in a desktop GIS tool, disconnected from the rest of the data stack.

This is a bottleneck that costs time, creates security risk, and means that the logistics director, the risk analyst, and the regional sales lead are always waiting on someone else to get it for them.

That is the problem this partnership is built to fix.

CARTO and Geoambiente have formed an exclusive partnership to bring cloud-native spatial analysis to Brazilian enterprises. Geoambiente will be the sole reseller for CARTO across the country, combining 30 years of geospatial expertise in digital transformation with cloud technologies and remote sensing with CARTO's Agentic GIS platform.

This partnership is an intentional pairing of two complementary capabilities: a globally proven platform and a team with deep knowledge of how Brazilian organizations actually work, what their data environments look like, and what it takes to get a spatial project from proof-of-concept to production.

Geoambiente has been a Google Premier Partner for over a decade, with specialization across Google Cloud, Google Workspace, and the Google Maps Platform. They have built a reputation in Brazil for digital transformation, remote sensing, and Location Intelligence consulting, working across industries from agriculture to financial services to logistics.

They hold deep knowledge of the local regulatory environment, the data infrastructure landscape, and the organizational realities that shape how a geospatial project gets bought, built, and adopted inside a Brazilian enterprise.

CARTO is the leading cloud-native spatial analysis platform. The platform connects directly to a customer's existing cloud data warehouse and runs all analytics, visualization, and AI Agents without sacrificing security and governance. No data movement and no copies of your data living outside your governed environment.

This architecture matters because it means CARTO works with the data stack your team already has, not around it. A data analyst in São Paulo working in BigQuery can run spatial analysis on the same tables they already use, without waiting for a data export or another team.

For data scientists and engineers, CARTO Workflows provides low-code spatial pipeline tools with 100+ components, native ML integrations, and API access for automation. For business users and executives, CARTO's AI Agents let teams ask location questions in plain language and get answers directly on a map, without writing a single line of SQL.

Brazil is not a simple market to serve from the outside. It has its own cloud adoption patterns, its own data sovereignty considerations, and industries with very specific geospatial needs. Geoambiente understands all of this. CARTO provides the platform. Together, they can serve Brazilian enterprises in a way that neither could independently.

"We are giving companies the ability to put location intelligence directly into the hands of decision-makers." — Izabel Cecarelli, CEO of Geoambiente

Mercado Libre, Latin America's largest commerce and payments ecosystem, uses CARTO natively within BigQuery to manage complex spatial analysis across 18 countries as part of their territorial expansion strategy. By keeping data analysis within their governed cloud environment, their team can run advanced geospatial analytics at scale without compromising data security or scalability. As Mercado Libre's Data & Analytics Manager put it: "The ability to scale our data is a big selling point, as well as the features in the Analytics Toolbox. I also love how easy it is to plot something using CARTO Workflows."

Meanwhile, Renault Group uses CARTO to consolidate site performance analysis across their dealership network in Europe into a single app, moving away from fragmented tools to make faster, more data-driven decisions across their entire network.

For more spatial analytics examples across retail, logistics, telecoms or financial services, visit our customer stories and industry use cases pages.

The standard model for GIS in large enterprises has been specialist-gated for decades. A team identifies a location question. They submit a request. A GIS analyst runs the analysis in a desktop tool. The result comes back as a static map or an export, disconnected from the live data the business is actually using.

That model was built for a world before cloud data warehouses, before AI, and before every business function expected self-serve access to the data they need. It has not kept up.

CARTO and Geoambiente are building an alternative for Brazil: spatial analysis that runs inside the data infrastructure organizations already have, accessible to the analysts who know how to use it and the business teams who need the answers.

If your organization operates in Brazil and you want to understand what cloud-native spatial analysis looks like in practice, get in touch with the Geoambiente team today. They can walk you through what is possible for your industry, your data environment, and your specific use cases.