Import spatial data from multiple sources
Upload geo files, spreadsheets, images, and links directly into a map project. The product page says Atlas supports major formats such as GeoJSON, KML, SHP, and 30+ others.
Atlas is a browser-based GIS platform for teams to build maps, analyze location data, and collaborate on spatial work with AI-assisted tools.
Atlas is a browser-based GIS platform for teams that need to create maps, analyze location data, and share spatial work in one place. The product positions itself as an AI-assisted environment for building maps and location-based apps without requiring prior GIS experience.
The site emphasizes a team workflow: users can upload files or import from URLs, style and analyze data, build dashboards, and collaborate through comments, annotations, and shared web maps. Pricing and product pages also show that Atlas supports multiple account tiers, including a free starter plan and paid plans for individuals, teams, and enterprise buyers.
Upload geo files, spreadsheets, images, and links directly into a map project. The product page says Atlas supports major formats such as GeoJSON, KML, SHP, and 30+ others.
Style layers with custom colors, symbols, labels, and zoom-based rules to turn raw spatial data into readable maps. The visualization page also highlights 3D visualization for spatial work.
Run buffer, clip, intersect, dissolve, overlay, proximity, density, routing, and aggregation workflows without leaving the browser. Atlas presents these tools as accessible to people without prior GIS training.
Create dashboards with charts and widgets so teams can monitor key metrics and spatial trends together. The product page says dashboards can incorporate various data sources and stay up to date.
Collaborate on live web maps with comments, annotations, synchronized updates, and notifications. Atlas also supports sharing and discussion around the same map rather than separate file versions.
Automate repeatable work with workflows, conditional logic, scheduled runs, webhook triggers, and node-based automation. Pricing details also mention AI credits, geocoding runs, and other workflow-related limits by plan.
Create maps from uploaded files or imported URLs, then use styling tools to highlight categories, patterns, and locations for internal review or client presentations.
Run buffer, intersection, density, routing, and proximity analyses to answer questions about service areas, territories, site selection, or spatial relationships.
Combine charts, widgets, and live map layers into dashboards that surface operational or geographic trends for stakeholders.
Share live web maps with comments and annotations so teams can review findings, collect feedback, and keep everyone aligned on the same data.
Use templates and AI-assisted workflows to get from a prompt or starting dataset to a usable mapping project faster, especially when starting from a common scenario such as territory or site analysis.
Atlas is a browser-based GIS platform for teams that need to visualize and analyze location data together. It supports map creation, spatial analysis, sharing, and collaboration in a single workspace.
You start by signing up for an account, then create a project and import data from files, spreadsheets, images, or URLs. The product pages also describe templates for getting started with common mapping workflows.
Atlas is positioned for teams of all sizes that work with location data, including sales, marketing, operations, agencies, and organizations in retail, real estate, energy, and related fields.
Atlas projects are private by default, and you can share them publicly through links when you need to gather feedback or share work outside your organization.
Atlas does not offer support by phone or live chat. Support is available Monday through Friday by email at [email protected].
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