Cartos · Why Cartos
The integration is the product.
Almost every individual capability exists somewhere in the market. Cartos wins on where it sits — a sovereign substrate, an owned constellation, an agent that compounds derived data, and a chain that ends in an auditable deliverable.
The moat
Six things competitors can't simply copy.
Sovereign by design
Runs in-territory, on infrastructure you control. A posture pure-software and foreign vendors structurally cannot match for regional gov and defence.
An owned imagery source
Backed by Space42's own constellation — a data position competitors can't license their way into, and one that lowers cost on regional AOIs.
Agent-native
An AI analyst orchestrates the platform's own tools from the first click. Reasoning is the idiom, not a feature bolted on later.
Intelligence that compounds
The derived-data graph gets more valuable the longer a customer stays — a switching cost that deepens with every session.
Auditable by construction
Every report's methodology comes from the work that was executed. That matters disproportionately in gov and defence procurement.
One loop, both directions
Imagery top-down and field ground-truth bottom-up in a single sovereign system — not a field tool stitched to a separate analytics stack.
“Cartos is the sovereign geospatial intelligence platform that reasons, builds in 3D, and documents itself — for buyers for whom data sovereignty and an owned imagery source are requirements, not features.”
Where Cartos sits
Honest about the trade.
Cartos deliberately cedes the open, global market to incumbents and claims the ground they cannot enter. Incumbents lead on maturity and coverage; Cartos leads on sovereignty, integration, and the loop.
| Dimension | Imagery incumbents | GeoAI models | Field tools | Cartos |
|---|---|---|---|---|
| Sovereign / in-territory | ✗ | n/a | ✗ | ✓ core |
| Owns the imagery source | partial | ✗ | ✗ | ✓ |
| Agent-native reasoning | ✗ | ✗ | ✗ | ✓ |
| Compounding derived-data graph | ✗ | ✗ | ✗ | ✓ moat |
| Change + 3D + reporting integrated | partial | ✗ | ✗ | ✓ |
| Field → AI ground-truth loop | ✗ | ✗ | partial | ✓ |
| Auditable methodology chain | ✗ | ✗ | ✗ | ✓ |
| Mature workflows / market presence | ✓✓ | n/a | ✓ | early |
Commercial model
Pay to get work done — not just to look.
Credits monetize variable compute honestly; subscription monetizes the compounding value of the derived-data graph — the part that gets more valuable the longer a customer stays.
A try-it surface that shows the whole loop on a sample area.
Per-run consumption for compute-heavy analysis, 3D, and capture.
Switch capabilities on per account — buy what you need.
Recurring monitoring, field seats, and a retained intelligence graph.
Sovereign and bespoke deployments, priced on delivered cost.
Design partner program
Become a Cartos design partner.
We're selecting a small number of partners with a real, recurring geospatial monitoring or as-built need — and sovereignty as a genuine constraint. A deliberately small pilot: one workflow, one or two AOIs, ~6–8 weeks, agreed success metrics. Engagements run under NDA.
| What you get | What we get |
|---|---|
| Early access at preferential pricing | A named reference and real-AOI validation |
| Influence over the roadmap for your vertical | A willingness-to-pay signal that makes pricing real |
| Auditable deliverables for your own stakeholders | A retained derived-data graph proving the moat compounds |
| A sovereign solution to a sovereignty-constrained problem | The ground truth that makes the AI better |