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May 27, 2026

Ground Truth: How We Create Geometrically Accurate Reconstructions

Many AI-generated world models are built to produce something that looks right. Niantic Spatial's reconstruction pipeline is built to produce something that is right, with geometrically accurate models that reflect the physical reality of the space that was captured. This is a critical step required for creating real-world foundation models for physical AI.

The distinction matters to anyone operating in the real world. Infrastructure teams can use geometrically accurate reconstructions to inspect assets remotely without site visits. Insurance and energy companies use them in site analysis and asset management. Robotics teams can use them as real-to-sim training data. This post explains how the pipeline works and what makes that level of accuracy hard to achieve at scale.

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