Key Takeaways

• What “spatial intelligence” means in practice for autonomy, logistics, and human–machine teaming
• How spatial AI accelerates coordinated control and handoff between autonomous systems in multi-domain operations
• How large-scale geospatial AI enables persistent 3D situational awareness in contested and GPS-denied environments

Niantic Spatial develops geospatial AI that enables machines and operators to understand and operate in the physical world with precision. Drawing on large-scale, real-world spatial data, the company’s Large Geospatial Model fuses sensor inputs into a persistent, machine-readable 3D representation of terrain, infrastructure, and activity, supporting autonomous systems and decision-making where traditional mapping, GPS, or connectivity are unreliable.

This targeted briefing will give attendees a concise, operational view of how spatial intelligence creates advantage in autonomous warfare. It will focus on how shared spatial understanding improves autonomy reliability, enables effective human oversight, and supports coordinated action across distributed systems. The session combines a brief technical overview with defense-relevant use cases, highlighting how lightweight, modular deployments integrate with existing platforms and workflows. Attendees will leave with a clear understanding of where spatial AI delivers immediate operational value and how it can be fielded rapidly to meet near-term warfighter needs.