The Problem
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
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
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
Identify all active threats and friendly assets within the area of operations and report any data anomalies.
Generate deconflicted flight paths for the incoming fleet that avoid active exclusion zones.
Simulate the mission impact of changing course now vs. in 60 seconds and recommend the optimal window.
Which autonomous actions are currently permitted within this sector under the active rules of engagement and safety protocols?
Operating Framework
Ingest
Spatial, geospatial, sensor, asset, facility, operational, and enterprise data.
Structure
Entities, relationships, locations, constraints, permissions, events, and provenance.
Reason
Scenario analysis, tradeoffs, planning, simulation, recommendations, and agent workflows.
Act
Routes, tasks, procedures, briefings, simulations, integrations, and governed autonomous workflows.
Governed Context Layer
SpatialCore connects physical, digital, and operational systems into a shared substrate that people and AI can query, simulate against, and use for controlled action.
Bring GIS, CAD/BIM, scans, imagery, telemetry, video, enterprise systems, and existing twins into one spatial context.
Represent assets, spaces, sensors, people, workflows, events, constraints, and changes as a queryable state of reality.
Expose governed context to agents, copilots, simulations, and decision systems with permissions and provenance intact.
Generate, replay, and compare operational scenarios before teams commit people, equipment, or autonomous systems.
Help teams ask spatial and operational questions, surface constraints, evaluate options, and explain tradeoffs.
Support routes, tasking, schedules, procedures, briefings, and agent workflows while preserving human control.
Fit existing visualization layers, command systems, AI systems, enterprise workflows, and emerging agent protocols.
The Operational Context Layer
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.
