ChronoSpace AI revenue, CEO Paul Walborsky, team size, customer count, churn, and more in 2026.

Today's vision models are trained on flat 2D pixels. They struggle to understand depth, motion, and physics essential for mission-critical domains where fidelity and temporal accuracy are non-negotiable. The answer is geometry. ChronoSpace AI is building the first Geometry-Native Foundation Model, trained on real-world 4D data: how people, objects, and environments move and interact across time. Our North Star is clear: reconstruct highly realistic, dynamic 4D scenes from sparse inputs — a single or few cameras — with the fidelity required for mission-critical deployment. This unlocks true spatial intelligence: AI that understands physics, maintains temporal consistency, and generalizes across domains. Reliable systems that don't just approximate reality, but operate within it. Geometry-native data unlocks Spatial AI.