Every decision about the physical world depends on spatial data, and that data exists, but it is scattered across hundreds of providers and impossible to use without specialized tools. The Spatial Cloud is the infrastructure that changes this: one place where spatial data from any provider is governed, connected, and queryable by anyone, from any tool, in seconds.


A retailer picking the next store location needs foot traffic, demographics, lease risk, and competitive density for a specific address. An insurance adjuster validating a claim needs weather events, pipeline proximity, and flood zones for a specific parcel. A city planner routing infrastructure needs land use, environmental risk, and population density for a specific corridor.

The Spatial Cloud is the infrastructure layer that makes spatial data from any provider governed, connected, and queryable by anyone, from any tool, in seconds.
Providers bring data. It is governed at runtime and made available through four surfaces. Buyers combine purchased data with their own on the same grid. AI users ask questions and get real answers. The data stays governed. The answers arrive in seconds.

On the Spatial Cloud, a dataset becomes a product through something called a Variant. A Variant defines who can access the data, what they can do with it, where it can go, and how they pay. One dataset can have many Variants: a national subscription for one buyer, a metro per-query feed for another, AI-only access for a third. The data is never copied. The policy is. For buyers, purchased data is immediately combinable and queryable. For providers, your data earns across every surface without leaving your control.

On every request, at runtime, it decides who can access spatial data, what they can do with it, and from where. The controls travel with the data wherever it flows.

It prunes the search space at planning time and executes against only the data the query touches. Sub-second response holds under real load.

Every dataset is structured, indexed, and computation-ready the moment it arrives. Four resource tiers, from distributed cloud to sovereign single-server, with the same data and same architecture.
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The infrastructure that makes spatial data from any provider governed, connected, and queryable by anyone, from any tool, in seconds. Built by BigGeo. Canadian-owned.
GIS platforms are built for specialists. The Spatial Cloud is built for everyone: enterprise teams, AI assistants, individual users. No GIS skills required. No specialist in the middle.
Marketplaces sell files. The Spatial Cloud sells slices, queries, and answers through the surfaces buyers and AI agents actually use. Purchases activate immediately. No download. No integration project.
Parcels, demographics, foot traffic, natural hazard risk, environmental data, mobility, firmographics, points of interest, infrastructure, and more, from trusted data partners. Governed in Vault. Queryable in seconds.
No. Ask questions in plain language through BigGeo AI. Visualize on a map in DataScape. Browse and buy in the Marketplace. Work with data in DataLab without code.
BigGeo is headquartered in Calgary, Canada. Canadian-owned infrastructure. Canadian jurisdiction. Governance is not a feature you turn on. It is the runtime itself. Every query evaluated on three axes: who is asking, what they are doing, from where. Unauthorized data is unreachable, not just unreadable.
