Priced for what you ship.
Start free. Move to a seat plan when the workflows do. Talk to us when reserved capacity matters.
For curious analysts and weekend mapping projects.
- 1 workspace
- Up to 3 workflows
- Sentinel-2 and Landsat access
- Community support
For individual researchers shipping pipelines.
- Unlimited workflows
- All providers, metered usage
- Full library + search
- Priority email support
- 14-day version history
For small teams running production workflows.
- Everything in Pro
- Shared workspaces
- Role-based access
- Google SSO
- Audit log + 90-day history
For organisations running mission-critical EO at scale.
- Everything in Team
- Reserved scene processing
- Region pinning (US, EU)
- SAML SSO + SCIM
- 99.9% uptime SLA
- Named support contact
Prices in USD. Scene-level processing is metered separately on Pro and Team. Cancel any time.
What's in each plan
Questions, answered.
Which sensors and providers are supported?
Out of the box: Sentinel-2 (ESA), Landsat-9 (USGS/NASA), MODIS (NASA), and Planet Labs. Bring your own credentials, or use ours under a unified billing layer.
Can agents run workflows without the UI?
Yes. Every workflow is a versioned JSON document. Agents create, execute, and inspect runs through the REST API or our MCP server — the canvas is one of several surfaces, not the source of truth.
What do runs produce?
Structured artefacts: GeoJSON change polygons, NDVI and other index time series, scene-level statistics, and signed cloud-storage URLs for derived rasters. Everything is machine-readable.
How is data handled?
Encrypted in transit and at rest. We never train on customer data. Enterprise customers can pin processing to a region (US, EU) and bring their own object storage.
Is there an SLA?
Pro and Team run on shared capacity with best-effort throughput. Enterprise includes a 99.9% uptime SLA, reserved capacity, and a named support contact.
How does pricing scale?
Seat pricing is flat. Scene-level processing is metered separately on Pro and Team, and included in committed capacity on Enterprise. Talk to us if you're running at petabyte scale.
Run your first pipeline
before the next pass.
Provision a workspace, point at an AOI, and ship structured outputs to your agents.