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“Do you know where a sidewalk begins and ends?” — a simple question from Niantic Spatial CEO, Inhi Cho Suh, that gets to the heart of what today’s AI is missing. For robots, this isn’t theoretical. To safely navigate something as everyday as a sidewalk, they need to understand...

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Niantic Spatial 🌎

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18,656 views • 4 months ago •via X (Twitter)

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🤖🌍 “Humanoid robots are coming, and they need to know how to understand and navigate through physical space,” John Hanke, CEO of Niantic Spatial, talks geospatial AI and robotics with Moritz Baier-Lentz and Hemal Thaker on the latest Game Theory podcast. 🔗See full episode here: #NianticSpatial #SpatialComputing #GeospatialAI
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🤖🌍 “Humanoid robots are coming, and they need to know how to understand and navigate through physical space,” John Hanke, CEO of Niantic Spatial, talks geospatial AI and robotics with Moritz Baier-Lentz and Hemal Thaker on the latest Game Theory podcast. 🔗See full episode here: #NianticSpatial #SpatialComputing #GeospatialAI

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17,319 views • 1 year ago

$10T is pouring into AI — but intelligence can’t stay trapped on screens. The next leap must be into the physical world. John Hanke, CEO of Niantic Spatial, writes in The Information about the company is building a Large Geospatial Model so AI can understand, navigate, and act in the real world. 🔗Read more: #Paywall #NianticSpatial #JohnHanke #AI #Robotics #GeospatialAI #LLMtoLGM
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$10T is pouring into AI — but intelligence can’t stay trapped on screens. The next leap must be into the physical world. John Hanke, CEO of Niantic Spatial, writes in The Information about the company is building a Large Geospatial Model so AI can understand, navigate, and act in the real world. 🔗Read more: #Paywall #NianticSpatial #JohnHanke #AI #Robotics #GeospatialAI #LLMtoLGM

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26,098 views • 5 months ago

Physical AI needs more than maps, GPS, or pixels alone. It needs a living, geometrically accurate understanding of the real world. Niantic Spatial and Spexi are partnering to transform drone imagery into large-scale 3D intelligence for physical AI. 🔗Learn more: #NianticSpatial #Spexi #PhysicalAI #Reconstruction #GaussianSplat #DigitalTwins #Robotics #GeospatialAI #AI #GeospatialIntelligence #GEOINT #SpatialIntelligence
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Physical AI needs more than maps, GPS, or pixels alone. It needs a living, geometrically accurate understanding of the real world. Niantic Spatial and Spexi are partnering to transform drone imagery into large-scale 3D intelligence for physical AI. 🔗Learn more: #NianticSpatial #Spexi #PhysicalAI #Reconstruction #GaussianSplat #DigitalTwins #Robotics #GeospatialAI #AI #GeospatialIntelligence #GEOINT #SpatialIntelligence

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27,560 views • 2 months ago

We built maps for people. Now, we’re building a new kind of map for robotics and AI. 🤖📍 Niantic Spatial CEO John Hanke shares why this foundation will be as essential to the future of AI as digital maps were for the web. 80% of the global economy operates in the physical world. For AI to truly scale, it must move beyond chatbots and synthetic worlds. It needs to navigate, understand, and safely interact with our reality. Read more: #PhysicalAI #SpatialIntelligence #NianticSpatial
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We built maps for people. Now, we’re building a new kind of map for robotics and AI. 🤖📍 Niantic Spatial CEO John Hanke shares why this foundation will be as essential to the future of AI as digital maps were for the web. 80% of the global economy operates in the physical world. For AI to truly scale, it must move beyond chatbots and synthetic worlds. It needs to navigate, understand, and safely interact with our reality. Read more: #PhysicalAI #SpatialIntelligence #NianticSpatial

Niantic Spatial 🌎

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VPS 2.0 Outperforms GPS Alone. Niantic Spatial’s Visual Positioning System (VPS) matches live camera data to a spatial model for precise 6DoF localization—indoors, outdoors, and in complex environments where GPS fails. 🔹 ~10-15cm accuracy in mapped areas 🔹 Works in GPS-denied environments 🔹 Persistent spatial anchors Explore this deep dive to learn how VPS works: #NianticSpatial #Scaniverse #VPS #GIS #GeospatialAI #GEOINT #PhysicalAI #AI #Robotics
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VPS 2.0 Outperforms GPS Alone. Niantic Spatial’s Visual Positioning System (VPS) matches live camera data to a spatial model for precise 6DoF localization—indoors, outdoors, and in complex environments where GPS fails. 🔹 ~10-15cm accuracy in mapped areas 🔹 Works in GPS-denied environments 🔹 Persistent spatial anchors Explore this deep dive to learn how VPS works: #NianticSpatial #Scaniverse #VPS #GIS #GeospatialAI #GEOINT #PhysicalAI #AI #Robotics

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19,782 views • 3 months ago

Niantic Spatial is working with Human Machine Collaboration Institute and the City of Rancho Cordova to build the foundation for the city’s first digital twin for physical AI. Roughly four square kilometers of the Innovation Region is already reconstructed and running in simulation. Read more: #NianticSpatial #PhysicalAI #DigitalTwins #SpatialAI #3DReconstruction #Robotics
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Niantic Spatial is working with Human Machine Collaboration Institute and the City of Rancho Cordova to build the foundation for the city’s first digital twin for physical AI. Roughly four square kilometers of the Innovation Region is already reconstructed and running in simulation. Read more: #NianticSpatial #PhysicalAI #DigitalTwins #SpatialAI #3DReconstruction #Robotics

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28,834 views • 9 days ago

at Niantic Spatial 🌎, we're building the real-world model for physical AI. we believe the next generation of AI will move beyond the screen, into real-world environments where some of the hardest problems need to be solved. with high-fidelity gaussian splats as the foundation – robots, AI agents, & autonomous systems can see, localize, understand, & operate in the environments that matter most.
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at Niantic Spatial 🌎, we're building the real-world model for physical AI. we believe the next generation of AI will move beyond the screen, into real-world environments where some of the hardest problems need to be solved. with high-fidelity gaussian splats as the foundation – robots, AI agents, & autonomous systems can see, localize, understand, & operate in the environments that matter most.

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42,334 views • 3 months ago

🚀 Niantic Spatial and Snap Inc. Inc. are pushing the limits of AI and spatial computing with Project Jade, an innovative demo debuted at AWE 2025. 🐈 Spatially-intelligent AI companion 👓 Built for AR glasses 📍 Anchored with precise VPS localization 🧠 Informed by real-world context 🤖 Designed for everyday interaction 👉 Read the full story behind Project Jade — from design and testing to real-world deployment. 🔗 #NianticSpatial, #GeospatialAI, #SpatialComputing, #VPS, #AI, #Peridot
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🚀 Niantic Spatial and Snap Inc. Inc. are pushing the limits of AI and spatial computing with Project Jade, an innovative demo debuted at AWE 2025. 🐈 Spatially-intelligent AI companion 👓 Built for AR glasses 📍 Anchored with precise VPS localization 🧠 Informed by real-world context 🤖 Designed for everyday interaction 👉 Read the full story behind Project Jade — from design and testing to real-world deployment. 🔗 #NianticSpatial, #GeospatialAI, #SpatialComputing, #VPS, #AI, #Peridot

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40,884 views • 1 year ago

🌴Today at #AWE2025, our CTO Brian McClendon shared how Niantic Spatial is building the future of geospatial intelligence. We’re combining object-level, street-scale, and aerial data to build highly precise 3D models—enabling centimeter-level localization and scaling spatial intelligence at a city-scale and beyond. 🚀 #NianticSpatial #GeospatialIntelligence #SpatialComputing #AR #RealWorldAI #LLMtoLGM #GeospatialAI #AugmentedReality #VPS #AI
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🌴Today at #AWE2025, our CTO Brian McClendon shared how Niantic Spatial is building the future of geospatial intelligence. We’re combining object-level, street-scale, and aerial data to build highly precise 3D models—enabling centimeter-level localization and scaling spatial intelligence at a city-scale and beyond. 🚀 #NianticSpatial #GeospatialIntelligence #SpatialComputing #AR #RealWorldAI #LLMtoLGM #GeospatialAI #AugmentedReality #VPS #AI

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14,655 views • 1 year ago

Every Pokémon Go player unknowingly trained future robots. Over the years, players photographed 30 billion images from cities around the world. And now that data is teaching delivery robots to navigate streets. Niantic (company behind Pokémon Go), spun out an AI company called Niantic Spatial that's turning years of player data into a visual positioning system for machines. When 500 million people installed the game and pointed their phones at buildings, landmarks, and street corners, they were also capturing detailed location data that normal GPS can't match: > GPS signals bounce off skyscrapers and lose accuracy by up to 50 meters in dense cities. > That's a dealbreaker for sidewalk delivery robots that need to stop at exactly the right point. > Niantic Spatial trained a model on those 30 billion images to pinpoint a robot's exact location based on what its cameras see, not satellite signals. > Delivery startup Coco Robotics is the first partner, using the system to guide thousands of robots across LA, Chicago, and Miami. Don't think anyone thought they were training robots when they were chasing Pikachu during COVID.
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Every Pokémon Go player unknowingly trained future robots. Over the years, players photographed 30 billion images from cities around the world. And now that data is teaching delivery robots to navigate streets. Niantic (company behind Pokémon Go), spun out an AI company called Niantic Spatial that's turning years of player data into a visual positioning system for machines. When 500 million people installed the game and pointed their phones at buildings, landmarks, and street corners, they were also capturing detailed location data that normal GPS can't match: > GPS signals bounce off skyscrapers and lose accuracy by up to 50 meters in dense cities. > That's a dealbreaker for sidewalk delivery robots that need to stop at exactly the right point. > Niantic Spatial trained a model on those 30 billion images to pinpoint a robot's exact location based on what its cameras see, not satellite signals. > Delivery startup Coco Robotics is the first partner, using the system to guide thousands of robots across LA, Chicago, and Miami. Don't think anyone thought they were training robots when they were chasing Pikachu during COVID.

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Anthropic’s CEO says AI-driven robotics could become a multi-trillion-dollar industry as models learn to generalize in the real world. Robotics is where AI starts to touch the $50T+ physical economy across manufacturing, logistics, agriculture, construction and healthcare.
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Anthropic’s CEO says AI-driven robotics could become a multi-trillion-dollar industry as models learn to generalize in the real world. Robotics is where AI starts to touch the $50T+ physical economy across manufacturing, logistics, agriculture, construction and healthcare.

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73,843 views • 6 months ago

This week at #CVPR2025, Niantic Spatial is sharing the major strides made toward building a Large Geospatial Model that merges the digital and physical worlds. 🌍🧠 📐MVSAnywhere: Zero-Shot Multi-View Stereo 🎨 Morpheus: Generative 3D Scene Stylization These two research projects reflect a larger ambition: to make AI systems that are spatially aware – able to perceive, interpret, and understand the physical world. 🔗See full blog and GitHub links: Blog post: MVS Anywhere GitHub: Morpheus GitHub: #CVPR2025 #GeospatialAI #NianticSpatial #ComputerVision #3DMapping #AR #GaussianSplatting #DiffusionModels
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This week at #CVPR2025, Niantic Spatial is sharing the major strides made toward building a Large Geospatial Model that merges the digital and physical worlds. 🌍🧠 📐MVSAnywhere: Zero-Shot Multi-View Stereo 🎨 Morpheus: Generative 3D Scene Stylization These two research projects reflect a larger ambition: to make AI systems that are spatially aware – able to perceive, interpret, and understand the physical world. 🔗See full blog and GitHub links: Blog post: MVS Anywhere GitHub: Morpheus GitHub: #CVPR2025 #GeospatialAI #NianticSpatial #ComputerVision #3DMapping #AR #GaussianSplatting #DiffusionModels

Niantic Spatial 🌎

11,031 views • 1 year ago

Yann LeCun says robotics could become a huge market, but the industry still doesn't know how to make humanoid robots useful The missing piece is AI that can understand the physical world and handle tasks with generality and adaptability "LLMs are useful, but for different problems"
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Yann LeCun says robotics could become a huge market, but the industry still doesn't know how to make humanoid robots useful The missing piece is AI that can understand the physical world and handle tasks with generality and adaptability "LLMs are useful, but for different problems"

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Robots Doing Stuff is back. Ready? Robots Doing Stuff #60 | Welding Policy Repetitive, quick, and precise. Automating this manufacturing welding task with Physical AI required the successful execution of all of the above in order to achieve a consistent weld quality at production-level speed. Visit to learn more about our Physical AI-enabled automation solutions. #PhysicalAI #Robotics #Automation #AI #Manufacturing #Welding
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Robots Doing Stuff is back. Ready? Robots Doing Stuff #60 | Welding Policy Repetitive, quick, and precise. Automating this manufacturing welding task with Physical AI required the successful execution of all of the above in order to achieve a consistent weld quality at production-level speed. Visit to learn more about our Physical AI-enabled automation solutions. #PhysicalAI #Robotics #Automation #AI #Manufacturing #Welding

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imagine a world where geospatial AI, VPS, and AR glasses meet. we’re actively exploring the magic of what that looks like with Dots as spatially intelligent agents for navigation. cc: Spectacles Peridot Niantic Spatial 🌎 ICYMI, we also announced our multi-year strategic partnership, including an investment from Snap Inc., to build the next-gen AI-powered map of the real world.
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imagine a world where geospatial AI, VPS, and AR glasses meet. we’re actively exploring the magic of what that looks like with Dots as spatially intelligent agents for navigation. cc: Spectacles Peridot Niantic Spatial 🌎 ICYMI, we also announced our multi-year strategic partnership, including an investment from Snap Inc., to build the next-gen AI-powered map of the real world.

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51,901 views • 1 year ago

Physical AI for defense and intelligence starts with an accurate model of the world – high-fidelity, geometrically grounded, built for the environments where it actually matters. Today, Niantic Spatial 🌎 is awardable on the Department of War 🇺🇸’s Tradewinds Solutions Marketplace for 3D Reconstruction, our second capability to clear that bar after Visual Positioning, announced earlier this month. Together they deliver two critical layers of the spatial stack: high-fidelity 3D models of contested environments, and precise location within them; a foundation for mission-critical operations that need to visualize and navigate the physical world. The capability is ready. The procurement path is open.
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Physical AI for defense and intelligence starts with an accurate model of the world – high-fidelity, geometrically grounded, built for the environments where it actually matters. Today, Niantic Spatial 🌎 is awardable on the Department of War 🇺🇸’s Tradewinds Solutions Marketplace for 3D Reconstruction, our second capability to clear that bar after Visual Positioning, announced earlier this month. Together they deliver two critical layers of the spatial stack: high-fidelity 3D models of contested environments, and precise location within them; a foundation for mission-critical operations that need to visualize and navigate the physical world. The capability is ready. The procurement path is open.

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14,279 views • 2 months ago

“In a couple of years, you’ll see humanoid robots walking around. But they need a lot of infrastructure. They need a lot of data to understand what’s happening and where. They need exact positioning, for example. They need real-time streaming and edge computing. And there are a lot of DePINs that are basically creating the infrastructure physical AI needs to navigate the world.” – peaq co-founder Leo
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“In a couple of years, you’ll see humanoid robots walking around. But they need a lot of infrastructure. They need a lot of data to understand what’s happening and where. They need exact positioning, for example. They need real-time streaming and edge computing. And there are a lot of DePINs that are basically creating the infrastructure physical AI needs to navigate the world.” – peaq co-founder Leo

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68,500 views • 1 year ago

One of the things I’m most excited about in our recently announced partnership with Niantic Spatial 🌎, is how clearly it shows what becomes possible when world-class reconstruction technology is paired with a new kind of imagery infrastructure. At a high level: Spexi drone pilots capture imagery, and Niantic Spatial turns it into incredible city-scale reconstructions. But the real unlock is the infrastructure behind that capture. At Spexi, we’ve built what we believe is the world’s first fully standardized drone imagery infrastructure called LayerDrone. Anyone with a compatible drone and the right credentials can contribute. No building flight plans. No estimating overlap. No adjusting camera settings in the field. Pilots simply get within visual line of sight of a Spexigon, open the Spexi app, press “Fly,” and the drone autonomously captures the 25-acre area to our standard. That standardization means imagery can be collected consistently, affordably, and repeatedly across cities, one Spexigon at a time (we have now captured over 225,000 of them). That is what makes living digital twins possible, dynamic representations of the physical world that can be updated as the world changes. Niantic Spatial’s city-scale Gaussian splats show what becomes possible when the right pixels go into the system. As physical AI advances, those pixels matter even more. Robots, drones, vehicles, maps, and spatial intelligence systems will all need current, high-resolution data about the real world. And as you can see below.. the results are not just beautiful, but real, measurable reconstructions of the physical world, one Spexigon at a time!
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One of the things I’m most excited about in our recently announced partnership with Niantic Spatial 🌎, is how clearly it shows what becomes possible when world-class reconstruction technology is paired with a new kind of imagery infrastructure. At a high level: Spexi drone pilots capture imagery, and Niantic Spatial turns it into incredible city-scale reconstructions. But the real unlock is the infrastructure behind that capture. At Spexi, we’ve built what we believe is the world’s first fully standardized drone imagery infrastructure called LayerDrone. Anyone with a compatible drone and the right credentials can contribute. No building flight plans. No estimating overlap. No adjusting camera settings in the field. Pilots simply get within visual line of sight of a Spexigon, open the Spexi app, press “Fly,” and the drone autonomously captures the 25-acre area to our standard. That standardization means imagery can be collected consistently, affordably, and repeatedly across cities, one Spexigon at a time (we have now captured over 225,000 of them). That is what makes living digital twins possible, dynamic representations of the physical world that can be updated as the world changes. Niantic Spatial’s city-scale Gaussian splats show what becomes possible when the right pixels go into the system. As physical AI advances, those pixels matter even more. Robots, drones, vehicles, maps, and spatial intelligence systems will all need current, high-resolution data about the real world. And as you can see below.. the results are not just beautiful, but real, measurable reconstructions of the physical world, one Spexigon at a time!

Alec Wilson

10,641 views • 2 months ago

Physical AI is here—the next wave of AI and the foundation of the next industrial revolution. NVIDIA founder and CEO Jensen Huang outlines the full stack making it possible: Cosmos and Omniverse to develop physical AI in virtual worlds, Isaac and Newton where robots learn skills in physics-simulated gyms, and Jetson robotics computers where their intelligence runs. Together with Japan’s robotics and manufacturing leaders, NVIDIA is creating a new era of industrial automation.
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Physical AI is here—the next wave of AI and the foundation of the next industrial revolution. NVIDIA founder and CEO Jensen Huang outlines the full stack making it possible: Cosmos and Omniverse to develop physical AI in virtual worlds, Isaac and Newton where robots learn skills in physics-simulated gyms, and Jetson robotics computers where their intelligence runs. Together with Japan’s robotics and manufacturing leaders, NVIDIA is creating a new era of industrial automation.

NVIDIA

131,417 views • 14 days ago

Transformers are not the end game. AI still needs a breakthrough I talked to Sanja Fidler, VP of AI Research at NVIDIA, leading company's Spatial Intelligence Lab, and she explains why ↓ And you should definitely watch our full conversation to understand where AI is heading and why physical AI is the next big frontier:
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Transformers are not the end game. AI still needs a breakthrough I talked to Sanja Fidler, VP of AI Research at NVIDIA, leading company's Spatial Intelligence Lab, and she explains why ↓ And you should definitely watch our full conversation to understand where AI is heading and why physical AI is the next big frontier:

Turing Post

78,007 views • 3 months ago