Real-world data integration
Bring GIS, CAD/BIM, scans, imagery, telemetry, video, enterprise systems, and existing twins into one spatial context.
The Problem
AI can think. It just can't act.
There's no standard interface between AI, real-world data, and the physical systems it needs to operate. The result is custom integrations that cost months and millions, and intelligent systems that stay stuck on the wrong side of the gap.
The Solution
A standard way for AI to access the real world.
SpatialCore is the single integration point between AI and the physical world. One connection — any platform to any AI interface in weeks, not months — so intelligent systems can perceive, decide, and act inside governed operational context.
Product Surface
Governed agents around real operational context.
SpatialCore gives teams a working surface for agents, tools, data, approvals, and live context, so AI workflows can move from draft to controlled deployment.
What Teams Can Ask
Decisions grounded in the current state of the world.
1
Identify all active threats and friendly assets within the area of operations and report any data anomalies.
2
Generate deconflicted flight paths for the incoming fleet that avoid active exclusion zones.
3
Simulate the mission impact of changing course now vs. in 60 seconds and recommend the optimal window.
4
Which autonomous actions are currently permitted within this sector under the active rules of engagement and safety protocols?
Operating Framework
Real-world data becomes operational context.
Ingest
Connect the real world.
Spatial, geospatial, sensor, asset, facility, operational, and enterprise data.
Structure
Turn data into context.
Entities, relationships, locations, constraints, permissions, events, and provenance.
Reason
Support human and AI decisions.
Scenario analysis, tradeoffs, planning, simulation, recommendations, and agent workflows.
Act
Move from insight to operation.
Routes, tasks, procedures, briefings, simulations, integrations, and governed autonomous workflows.
Governed Context Layer
One view of what exists, what matters, and what can happen next.
SpatialCore connects physical, digital, and operational systems into a shared substrate that people and AI can query, simulate against, and use for controlled action.
Operational world state
Represent assets, spaces, sensors, people, workflows, events, constraints, and changes as a queryable state of reality.
AI-ready context
Expose governed context to agents, copilots, simulations, and decision systems with permissions and provenance intact.
Scenario intelligence
Generate, replay, and compare operational scenarios before teams commit people, equipment, or autonomous systems.
Decision support
Help teams ask spatial and operational questions, surface constraints, evaluate options, and explain tradeoffs.
Governed action
Support routes, tasking, schedules, procedures, briefings, and agent workflows while preserving human control.
Open infrastructure
Fit existing visualization layers, command systems, AI systems, enterprise workflows, and emerging agent protocols.
The Operational Context Layer
AI and autonomous systems will only ever be as good as the world they understand.
SpatialCore gives people and machines a shared understanding — governed, current, and AI-ready. It turns fragmented real-world data into one shared operational context, while keeping humans in control of the decisions that matter.