RAIC Fed
RAIC Fed is a containerized, analyst-run geospatial ML platform built to close the gap between exploding imagery volumes and limited analyst time. It enables broad-area search, taxonomy-based organization, and analyst-driven model building, starting from a single seed image or hand-drawn sketch. Analysts can search millions of square miles across large imagery datasets, organize results into a shared, evolving taxonomy, and train shallow models on a handful of labeled examples in minutes, no AI specialists or lengthy labeling cycles required.
RAIC Fed runs where the data lives, deployable in cloud, on-premises, or fully air-gapped environments for classified operations (IATT achieved, SECRET live, Top Secret ATO in progress). Built on Iron Bank-approved images with API-first architecture, it integrates directly into existing DoD workflows and enterprise systems.
RAIC Fed keeps the analyst in control while dramatically increasing the ground they can cover.
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