Location Information Prediction.
CARTO is a cloud-native geospatial information system (GIS) platform for spatial analysis, offering analytics, data visualization, AI agents, and app development tools within a single platform. It integrates directly with cloud data warehouses such as BigQuery, Google Cloud, AWS, Azure, Snowflake, Databricks, and Oracle, allowing data to remain in place without ETL processes. The platform includes a low-code analytics interface with drag-and-drop tools, over 100 pre-built analysis components with machine learning and AI integrations, and support for automation through APIs, AI agents, and MCP tools.
The platform supports visualization of large datasets, including billions of data points, and allows interaction with maps and dashboards through natural language. Its AI Agents feature lets users build custom agents and tools for decision-making, using their own models, endpoints, and cloud infrastructure. For application development, CARTO provides framework-agnostic tools that run within a data lakehouse environment and use deck.gl, WebGL, and GPU technology for rendering.
CARTO is used across industries including insurance, telecoms, financial services, retail, marketing and advertising, and transport and logistics, and by roles such as data analysts, data scientists, GIS professionals, and developers. Use cases mentioned include network deployment, catastrophe modeling, fraud detection, market analysis, environmental management, site selection, geomarketing, data monetization, IoT analytics, supply chain optimization, healthcare analytics, and territory planning.
CARTO integrates with Google Cloud, AWS, Azure, Snowflake, Databricks, and Oracle, keeping data in place without ETL.
CARTO is built for data analysts, data scientists, GIS professionals, and developers across industries like insurance, telecoms, retail, financial services, and logistics.
Yes, CARTO offers a free tier that users can try without a demo request.
Yes, CARTO lets users build custom AI Agents and tools for end-to-end decision-making, deployable through APIs and MCP tools.
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