Spatial solutions for mission-critical operations
AI-driven spatial intelligence for resilient, GPS-independent operations, autonomous system performance, and real-time situational awareness, enhanced through augmented reality for decisive mission advantage.
Mission capabilities for spatial autonomy
AI-powered Large Geospatial Model enabling autonomous systems and human-machine teaming.
Persistent 3D spatial awareness
AI-driven environmental understanding for precise geolocation and mapping, even in GPS-denied environments.
Lightweight deployments
Rapidly deployable AI systems with minimal setup and connectivity.
Future-proof, modular design
Modular standards-based design for seamless tech insertion and integration from cloud to tactical DDIL edge. Future-proof for operations and sustainability.
Niantic Spatial and Vantor partnership
Niantic Spatial and Vantor partner to deliver an integrated visual positioning system, providing GPS redundancy for autonomous and mixed reality operations.
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Frequently asked questions
01What does Niantic Spatial provide for defense and intelligence?
Niantic Spatial provides AI-driven spatial intelligence for mission-critical operations. Our platform helps organizations create 3D representations of environments, establish vision-based positioning, and support resilient situational awareness for people, machines, and autonomous systems.
02Can Niantic Spatial help when GPS is unavailable?
Yes. Niantic Spatial VPS uses visual information from standard camera sensors to estimate a platform’s position and orientation in six degrees of freedom. It is designed to support positioning in complex environments where GPS may be unreliable, denied, or unavailable. Performance depends on the environment, available spatial data, sensors, and deployment configuration.
03How can Niantic Spatial support UAS and autonomous systems?
Niantic Spatial can provide spatial data and positioning inputs for UAS, UGVs, and other autonomous platforms. These inputs can support navigation, mapping, mission planning, visualization, and coordination across platforms. Integration is evaluated against the aircraft, sensors, edge hardware, and autonomy software used in each mission.
04What can Niantic Spatial 3D Reconstruction produce?
Niantic Spatial can turn imagery and other sensor data, including phone, drone, 360-camera, and LiDAR inputs, into georeferenced 3D models. Outputs include textured meshes, point clouds, Gaussian splats, and SPZ-delivered assets for use in mapping, simulation, visualization, and spatial analysis.
05Can Niantic Spatial be deployed at the tactical edge?
Niantic Spatial supports flexible deployment across mobile and cloud workflows, including offline capture and reconstruction with Scaniverse. Tactical-edge, on-premise, and air-gapped configurations depend on mission requirements, hardware, security controls, and integration scope and should be evaluated for each program.
06How does Niantic Spatial integrate with existing systems?
Niantic Spatial is designed with modular, standards-based interfaces and can work with existing cameras, mapping data, GIS, simulation, navigation, and mission-planning workflows. Specific APIs, SDKs, adapters, and autonomy-standard integrations depend on the target system and should be confirmed during technical discovery.
07Is Niantic Spatial available for government customers?
Niantic Spatial’s VPS and Multi-Sensor 3D Reconstruction capabilities have Awardable status through the CDAO TradeWinds Solutions Marketplace, IARPA, and Army Applications Laboratory DevX Autonomy. Government teams can view the associated solution materials through the respective marketplaces.