Coming Soon

Mapstage.
Make maps. Share instantly.

An open-source, cloud-native GIS platform for collaborative mapping. Visualize data, explore spatial insights, and share maps instantly without the complexity of traditional GIS tools.

Thanks! We'll be in touch when Mapstage launches.

Open source, cloud native, collaborative GIS.

See Mapstage in the browser.

A preview of the Mapstage interface for exploring, styling, and sharing spatial data on the web.

Screenshot of the Mapstage interface
Additional screenshot of the Mapstage interface
Another screenshot of the Mapstage interface

GIS is powerful, but still hard to use.

Most GIS tools were built for specialists, not for the wider teams that need spatial data to make decisions.

Complex workflows

Interfaces and processes that assume deep GIS expertise from day one.

Expensive platforms

Proprietary software can be difficult to justify across broader teams.

Fragmented collaboration

Sharing maps and working together often feels slower than it should.

High learning curve

Non-experts are left out, even when location data matters to their work.

As a result, many teams do not use spatial data at all, even when it matters.

A modern GIS platform for the web.

Mapstage is built to feel like modern software, not legacy GIS.

Cloud-native

Designed for the browser from day one, without desktop-first assumptions.

Collaborative

Built around shared workspaces, faster feedback, and team-based mapping.

Instant sharing

Maps can be shared with links instead of exports, screenshots, or file handoffs.

Browser-first

Accessible wherever your team already works, without heavy setup.

No installs. No heavy tooling.

Built for mapping, collaboration, and sharing.

Visualize data on maps

Upload datasets and turn them into interactive map layers without complex setup.

Collaborate in real time

Work with your team on the same map in a shared environment built for the web.

Share instantly

Send maps with a link instead of relying on exports, attachments, or file transfers.

Built on open standards

Designed to work with existing geospatial tools, formats, and workflows.

Open by design. Exploring AI with care.

Open source by design

Mapstage is being built as an open-source platform because openness is essential for adoption, extensibility, and trust.

  • Faster innovation through community
  • Transparent and extensible architecture
  • No vendor lock-in
  • Lower barriers to adoption

A foundation for AI-driven workflows

We are exploring how AI can simplify spatial workflows and make GIS easier to use for a much wider range of people.

  • Natural language queries for maps
  • Assisted analysis and spatial insights
  • Lowering the barrier to GIS usage

AI is an augmentation layer designed to make GIS more accessible.

Built for teams working with place, data, and decisions.

Infrastructure and asset mapping

Coordinate, inspect, and communicate spatial information across teams.

Environmental and climate visualization

Surface geographic patterns in changing landscapes and long-term datasets.

Research and academic projects

Collaborate on geospatial work without heavy platform overhead.

Field operations and reporting

Share map-based information quickly between planners, analysts, and operators.

Location-based products

Give teams a simpler way to prototype and communicate spatial product ideas.

GIS should feel accessible, collaborative, open, and modern.

Accessible

Not limited to experts.
Spatial tools should be usable by the broader teams who rely on geographic context.

Collaborative

Not siloed.
Maps should support shared work the same way modern software supports shared documents.

Open

Not locked behind proprietary systems.
Open standards and open-source thinking create stronger ecosystems.

Modern

Built for the cloud era.
GIS should feel browser-native, link-friendly, and easier to adopt across teams.

Start mapping with Mapstage.

Whether you are exploring your first dataset or building advanced spatial workflows, Mapstage is being designed to help teams move faster with location-based data.