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A living, measured model of the physical world.

We’re building a 4D neural database of real places, grounded in place and time, that people and machines can query, learn from and act within.

We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world.

The model learns the world. The map knows the place.

One spatial foundation model learns how physical spaces work. Each place gets its own 4D neural map that stays current as it changes. Together they power reconstruction, localization and understanding.

Large Geospatial Model (大規模地理空間モデル)One spatial foundation model that learns how physical spaces work, so it can reconstruct, localize and understand places it has never seen.
Field operator localizing at a refinery4D neural mapRefinery
Aerial view of a coastal site, measured from drone imagery4D neural mapCoastal site
Humanoid robots training in a reconstruction of a real workshop4D neural mapWorkshop
Every new placeFrom any sensor or archive
Every map supports

Built on 25 years at the frontier of spatial computing.

Our founding team built Keyhole, grew it into Google Earth and Google Maps, created some of the largest location-based games ever made and pioneered visual positioning at global scale.

2001–2015
Keyhole and GoogleMapping the planet for everyone, from Keyhole to Google Earth and Google Maps.
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2001Keyhole 設立
2004Keyhole acquired by Google
2005Google Earth and Google Maps launch
2011Google にて、Niantic Labs がインキュベート
2015–2025
Niantic GamesGetting hundreds of millions of people out to explore and play in the real world.
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2015Niantic としてGoogle から独立
2016Niantic games surpass 500M+ users
2022Niantic VPS をロンチ
2025–Present
Niantic SpatialBuilding AI that understands, navigates and acts in the physical world.
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2025Niantic Spatial 設立
2026Scaniverse and VPS 2.0 launch

Leadership

Built to be trusted.

The places we model are real, and so are the people in them. We earn trust by keeping customer data under customer control, measuring what is there rather than inventing it, and working with every partner to ensure our technology upholds human rights and ethical principles.

Read our responsible innovation policy
Work on the hardest problems in physical AI, with the team that mapped the world.Open roles