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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... show more

Niantic Spatial 🌎

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28,185 görüntüleme • 4 ay önce •via X (Twitter)

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By combining Spexi’s aerial capture network with Niantic Spatial’s reconstruction pipeline, customers can turn raw drone data into high-fidelity Gaussian splats and city-scale 3D environments ready for simulation, localization, inspection, measurement, and autonomous operations.

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for physical AI to work in the real world, it needs high-fidelity 3D models of the real world. not just for visualization — for localization, spatial reasoning, and real-to-sim workflows that close the gap between training and deployment. at Niantic Spatial 🌎, we're turning Spexi drone imagery into exactly that — city-scale Gaussian splats grounded in the environments that matter most.

for physical AI to work in the real world, it needs high-fidelity 3D models of the real world. not just for visualization — for localization, spatial reasoning, and real-to-sim workflows that close the gap between training and deployment. at Niantic Spatial 🌎, we're turning Spexi drone imagery into exactly that — city-scale Gaussian splats grounded in the environments that matter most.

asim ᯅ

49,566 görüntüleme • 4 ay önce

$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

$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

Niantic Spatial 🌎

26,143 görüntüleme • 7 ay önce

Gaussian splats look impressive—but robotics needs more than photorealism. Niantic Spatial generates an aligned collision mesh alongside every Gaussian splat, creating machine-readable digital twins with accurate geometry, depth, and collision awareness. Built for Spatial AI, Physical AI, and simulation in NVIDIA Robotics Isaac Sim. Learn more: #GaussianSplats #SpatialAI #PhysicalAI #3DGS #3DReconstruction #AI #ComputerVision

Gaussian splats look impressive—but robotics needs more than photorealism. Niantic Spatial generates an aligned collision mesh alongside every Gaussian splat, creating machine-readable digital twins with accurate geometry, depth, and collision awareness. Built for Spatial AI, Physical AI, and simulation in NVIDIA Robotics Isaac Sim. Learn more: #GaussianSplats #SpatialAI #PhysicalAI #3DGS #3DReconstruction #AI #ComputerVision

Niantic Spatial 🌎

54,070 görüntüleme • 1 ay önce

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

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 🌎

83,058 görüntüleme • 7 ay önce

“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 boundaries, context, and change in real time. Learn about how Niantic Spatial is building the missing piece in Physical AI. #NianticSpatial #HumanX #GeospatialAI #Robotics #AI #PhysicalAI

“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 boundaries, context, and change in real time. Learn about how Niantic Spatial is building the missing piece in Physical AI. #NianticSpatial #HumanX #GeospatialAI #Robotics #AI #PhysicalAI

Niantic Spatial 🌎

18,730 görüntüleme • 5 ay önce

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

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

Niantic Spatial 🌎

29,158 görüntüleme • 2 ay önce

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

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

Niantic Spatial 🌎

19,782 görüntüleme • 5 ay önce

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!

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

10,695 görüntüleme • 4 ay önce

🤖🌍 “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

🤖🌍 “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

Niantic Spatial 🌎

17,319 görüntüleme • 1 yıl önce

Before AI can understand the physical world, it needs data about the physical world. Not just images. Spatial environments. Real streets, buildings, parks, stores, museums, and public spaces captured in 3D. OVER has already reconstructed 290,000+ real-world 3D scenes, creating a growing dataset for the next generation of spatial and embodied AI. And this is exactly the kind of real-world spatial data AI companies are looking for. We're already in conversations with multiple AI and Robotics companies exploring how OVER's dataset can support the development and training of models that need to understand the physical world. The next AI race will be about real-world data.

Before AI can understand the physical world, it needs data about the physical world. Not just images. Spatial environments. Real streets, buildings, parks, stores, museums, and public spaces captured in 3D. OVER has already reconstructed 290,000+ real-world 3D scenes, creating a growing dataset for the next generation of spatial and embodied AI. And this is exactly the kind of real-world spatial data AI companies are looking for. We're already in conversations with multiple AI and Robotics companies exploring how OVER's dataset can support the development and training of models that need to understand the physical world. The next AI race will be about real-world data.

Over the Reality 🌐

24,045 görüntüleme • 12 gün önce

🌎 The world in your pocket, now in 3D. For a limited time, upgrade to a Scaniverse Annual Plan by June 30 and get: ✅12 months for the price of 10 + up to 105,000 bonus cloud processing credits. ⏰Upgrade today! #NianticSpatial #Scaniverse #Reconstruction #3DScanning #GaussianSplat #360Capture #DigitalTwin #AI #GeospatialAI #PhysicalAI #VPS

🌎 The world in your pocket, now in 3D. For a limited time, upgrade to a Scaniverse Annual Plan by June 30 and get: ✅12 months for the price of 10 + up to 105,000 bonus cloud processing credits. ⏰Upgrade today! #NianticSpatial #Scaniverse #Reconstruction #3DScanning #GaussianSplat #360Capture #DigitalTwin #AI #GeospatialAI #PhysicalAI #VPS

Niantic Spatial 🌎

11,326 görüntüleme • 3 ay önce

Construction sites change fast. Constant site revisits are expensive and time-consuming. With Scaniverse, teams can capture and operationalize real-world environments with precision at scale using high-fidelity textured meshes and Gaussian splats. Monitor progress remotely, improve collaboration, document site conditions, and reduce unnecessary visits — all from a phone or 360° camera. Sign up for Scaniverse today and begin to #SplatYourWorld. #NianticSpatial #Scaniverse #VPS #GeospatialAI #AI #GaussianSplat #Reconstruction #PhysicalAI

Construction sites change fast. Constant site revisits are expensive and time-consuming. With Scaniverse, teams can capture and operationalize real-world environments with precision at scale using high-fidelity textured meshes and Gaussian splats. Monitor progress remotely, improve collaboration, document site conditions, and reduce unnecessary visits — all from a phone or 360° camera. Sign up for Scaniverse today and begin to #SplatYourWorld. #NianticSpatial #Scaniverse #VPS #GeospatialAI #AI #GaussianSplat #Reconstruction #PhysicalAI

Niantic Spatial 🌎

16,635 görüntüleme • 4 ay önce

Today, Niantic Spatial introduces Scaniverse — our flagship product and the gateway to our spatial intelligence platform and Large Geospatial Model. Here’s what’s new: 🔹Scaniverse (iOS mobile + web): Capture once, generate multiple outputs—VPS maps, meshes, and Gaussian splats (Android coming soon) 🔹Collaborative mapping: Multi-user scans fused into a single, continuously improving model 🔹 On-device validation: Preview VPS coverage and test localization in real time 🔹VPS 2.0: Global-scale positioning—centimeter-accurate where mapped, reliable everywhere else (even where GPS fails) 🔹NSDK 4.0 (coming soon): A unified SDK across Unity, Swift, Android, and ROS 2 Read more: #NianticSpatial #Scaniverse #VPS #GeospatialAI #AI

Today, Niantic Spatial introduces Scaniverse — our flagship product and the gateway to our spatial intelligence platform and Large Geospatial Model. Here’s what’s new: 🔹Scaniverse (iOS mobile + web): Capture once, generate multiple outputs—VPS maps, meshes, and Gaussian splats (Android coming soon) 🔹Collaborative mapping: Multi-user scans fused into a single, continuously improving model 🔹 On-device validation: Preview VPS coverage and test localization in real time 🔹VPS 2.0: Global-scale positioning—centimeter-accurate where mapped, reliable everywhere else (even where GPS fails) 🔹NSDK 4.0 (coming soon): A unified SDK across Unity, Swift, Android, and ROS 2 Read more: #NianticSpatial #Scaniverse #VPS #GeospatialAI #AI

Niantic Spatial 🌎

122,482 görüntüleme • 6 ay önce

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.

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.

asim ᯅ

14,288 görüntüleme • 4 ay önce

1/ Autonomous machines are becoming part of our physical world but intelligence alone isn't enough. Every machine needs a trusted identity. Welcome to Continuum Labs: the trust layer for physical AI. 🧵👇

1/ Autonomous machines are becoming part of our physical world but intelligence alone isn't enough. Every machine needs a trusted identity. Welcome to Continuum Labs: the trust layer for physical AI. 🧵👇

Continuum Labs

13,595 görüntüleme • 2 ay önce

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

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 görüntüleme • 1 yıl önce

Robotics doesn't have a model problem. It has a data problem. And underneath that, a deployment problem. Physical AI progresses through real-world interaction. Robots act, fail, recover, and adapt. Without shared standards, every team relearns the same lessons in isolation. Deployment standards determine whether learning compounds or resets. PrismaX is the service layer for physical AI. We run the systems that define how robots get deployed, standardize how interaction data is generated, and integrate human judgment where models fall short, turning fragmented robotics capability into deployable infrastructure. Our Mission: Enable people and robots to work together by setting the standards that allow physical AI systems to learn and improve through real-world operation. Our Vision: A world where intelligent robots are deployed responsibly and at scale, supported by systems that embed human judgment into how intelligence advances. The next chapter for physical AI is about turning real-world operation into scalable intelligence. More soon.

Robotics doesn't have a model problem. It has a data problem. And underneath that, a deployment problem. Physical AI progresses through real-world interaction. Robots act, fail, recover, and adapt. Without shared standards, every team relearns the same lessons in isolation. Deployment standards determine whether learning compounds or resets. PrismaX is the service layer for physical AI. We run the systems that define how robots get deployed, standardize how interaction data is generated, and integrate human judgment where models fall short, turning fragmented robotics capability into deployable infrastructure. Our Mission: Enable people and robots to work together by setting the standards that allow physical AI systems to learn and improve through real-world operation. Our Vision: A world where intelligent robots are deployed responsibly and at scale, supported by systems that embed human judgment into how intelligence advances. The next chapter for physical AI is about turning real-world operation into scalable intelligence. More soon.

PrismaX

15,336 görüntüleme • 5 ay önce

German robotics company NEURA Robotics has created NEURA Gym: a large-scale, physical AI gym and training ground where hundreds of robots, including the humanoid 4NE-1, learn through real-world interactions. The company is collaborating with the Neuraverse ecosystem to create the world's largest repository of physical training data, promoting the application of humanoid robots.

German robotics company NEURA Robotics has created NEURA Gym: a large-scale, physical AI gym and training ground where hundreds of robots, including the humanoid 4NE-1, learn through real-world interactions. The company is collaborating with the Neuraverse ecosystem to create the world's largest repository of physical training data, promoting the application of humanoid robots.

CyberRobo

73,731 görüntüleme • 11 ay önce