November 2026 Summaries

CARTO has introduced Hosted Apps and App Studio in private preview for customers, aiming to simplify the creation, deployment, and governance of custom spatial applications. Hosted Apps enables developers to deploy static web-based geospatial apps through the CARTO CLI, with applications secured behind CARTO login, governed by existing user permissions and sharing controls, and supported by versioning and rollback across CARTO Cloud and self-hosted environments. App Studio extends these capabilities to GIS analysts and domain experts by allowing them to create and refine spatial apps from natural-language prompts, live data previews, and visual feedback without using coding tools or managing infrastructure. Both products use live warehouse connections and dynamic tiling rather than copying data, while App Studio can use organization-approved AI models or CARTO Managed Models. CARTO positions the tools as a way to reduce deployment bottlenecks and enable secure delivery of applications ranging from analytical dashboards and story maps to business workflows, data-editing tools, and branded geospatial experiences.

Self-service analytics is defined as enabling anyone in an organization to obtain immediate, trustworthy answers to specific questions without query-writing or reliance on specialists, a standard that conventional dashboards and web maps often fail to meet because they only address scenarios anticipated by their creators. Growing demand for spatial analysis among nontechnical staff, combined with difficulty hiring GIS professionals, increases the need for scalable access to reliable geospatial answers. The proposed solution, Agentic GIS, lets users ask questions in plain language while AI agents execute analyst-designed, repeatable workflows using governed data, approved models, and permission-controlled access within an organization’s cloud data warehouse. Using fire-station coverage as an example, the approach can calculate five-minute drive-time areas and affected populations or identify stations serving a location, rather than relying on map inspection or improvised chatbot responses. By keeping specialists responsible for designing and approving analytical methods, Agentic GIS aims to provide consistent, auditable answers while reducing routine requests and allowing GIS teams to focus on higher-value work.