Answer Earth Questions

Answer is a reasoning engine powered by Ranger, our multi-modal spatial model trained on billions of visual data points to derive insight from the physical world.

Ranger
Reasoning model for spatial and visual context
Multi-modal
Images, video, maps, satellite, and structured signals
Grounded
Answers tied to physical-world observations

How it works

A reasoning layer for the planet.

Teams should be able to ask high-value questions without assembling a custom geospatial workflow every time. Answer turns visual and spatial signals into clear responses about conditions, comparisons, exposure, change, and opportunity.

Ask plain-language spatial questions
Connect imagery with structured geographic context
Explain patterns across places and time
Support decisions with traceable physical evidence
Capabilities

Built for teams that need physical-world intelligence.

Spatial reasoning

Ranger interprets physical context across location, visibility, frequency, and surrounding features.

Evidence synthesis

Combine street-level captures, satellite observations, contributor data, and benchmarks into usable answers.

Operational clarity

Help analysts, researchers, and field teams move from raw data to confident action faster.

Put Answer to work.

Tell us what features, regions, risks, or questions matter to your organization.

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