AI is blind to reality. We're giving it eyes.

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 (GFM), trained on real-world 4D data: how people, objects, and environments move and interact across time.

Our GFM enables us to reconstruct highly realistic, dynamic 4D scenes from sparse inputs with the fidelity required for mission-critical deployment.

This unlocks true spatial intelligence: AI that understands physics, maintains temporal consistency, and generalizes across domains.

Geometry-native data unlocks Spatial AI.

Applications

Mission-critical domains demand spatial intelligence

Robots train on 4D reconstructions of human workflows, using geometry-native content that captures affordances and motion patterns with physics built in. These reconstructions also serve as high-fidelity simulation environments, enabling validation before deployment and closing the sim-to-real gap.

Analysts transform drone footage into battlefield 4D reconstructions for situational awareness and threat analysis. CCTV becomes explorable geometry-native security environments, while immersive 4D scenes train personnel across missions, logistics, and equipment.

4D reconstructions create geometry-native digital twins of factory floors, warehouses, and construction sites. They enable optimization, safety checks, and automation that pixels or CAD can't deliver. High-fidelity scenes can be replayed to test layouts, validate automation, and improve safety before deployment.

Leadership

Our team combines proven track records. Paul Walborsky built AI.Reverie, a pioneer in synthetic data for computer vision, acquired by Meta in 2021. Srinath Sridhar, co-founder and CEO, is Professor of Computer Science at Brown University and head of the Interactive 3D Vision Lab. Our breakthroughs in geometry-native AI have been published at CVPR, NeurIPS, and SIGGRAPH — and now we're turning research into reality.

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Dive deeper into ChronoSpace AI

Shape the Future of Spatial AI

ChronoSpace AI is building the infrastructure layer every industry will need. We're inviting collaborators across two fronts:

Join our Industry Council

Industry leaders guiding and validating mission-critical applications.

Build with Us

Engineers, researchers, and operators building high-fidelity infrastructure.

Interested in shaping Spatial AI? Let's talk.