InterraLabs

Interra Labs builds an autonomous AI agent for geospatial intelligence (GEOINT), designed to turn satellite and aerial imagery into traceable, measurement-grade data. Instead of the bounding boxes used by many computer vision tools, the system produces instance-level segmentation masks tuned for overhead imagery, and it can run multi-step reasoning chains to correlate objects and changes across time. Users can query the system through natural language descriptions, by uploading a reference image, or by selecting an area on a map, and the platform returns GIS-ready outputs with per-instance masks and traceable, auditable execution from the source imagery to the final conclusion. This traceability is meant to let analysts verify how the agent reached a given answer rather than treating it as a black box. The platform is built for defense and intelligence organizations and states it is already deployed with major defense partners to accelerate intelligence workflows. It is currently offered through an early access program rather than general public signup, so pricing, full platform availability, and broader commercial use cases are not yet public. As an early-stage, defense-focused product, independent, publicly available performance benchmarks are limited.