G-Data

Hyperlocal physical-world intelligence for Physical AI and urban operations.

Global forecasts tell you what is happening nearby. G-Data helps tell you what is happening at street level, through multimodal observations of the environment, road, and infrastructure.

Multimodal, street-level observations

G-Data collects and structures localized physical-world data that conventional weather and mapping sources do not resolve, then makes it available to the mission risk engine.

LiDAR Point cloud Road geometry Slope Imagery Temperature Humidity Local infrastructure conditions Temporal changes
Weather forecast
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Local physical-world intelligence
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Higher-resolution mission risk

How G-Data is delivered

Multimodal collection

Point cloud, imagery, and environmental sensor observations captured at street level.

Localized context

Road and infrastructure conditions tied to specific locations and time.

Temporal observations

How the physical world changes over time, not just a single snapshot.

API / data access

Structured access designed to feed risk models and operational systems.

Digital-twin inputs

Physical-world layers that can inform digital-twin and simulation environments.

Feeds the risk engine

Used as one input to sharpen mission risk beyond global data alone.

Coverage and available layers vary by area and are confirmed per engagement.

Bring street-level data to your risk models.

Talk to us about G-Data coverage and access for your operating areas.