Introducing the Places Library 📚 A collection of 100 high-fidelity, real-world 3D environments built for embodied AI. Instantly access real-world 3D environments as simulation-ready USDZ files, ready to use in NVIDIA Isaac Sim, Isaac Lab, and compatible OpenUSD simulators. 🔗 Read more: nianticspatial.com/blog/intr… 👉 Download free sample scenes: nianticspatial.com/embodied-… #EmbodiedAI #Robotics #PhysicalAI #Real2Sim #IsaacSim #AI #USDZ

today at @nianticspatial we're launching the Places Library: 100 real environments to train robots in, with even more coming soon. warehouse, last mile, residential, and more. every one a simulation-ready USDZ. start here, then capture the sites you actually deploy into.

Big news: @DaveCitron joins Niantic Spatial as Chief Product Officer. After leading products at @MicrosoftAI and @GoogleDeepMind, Dave joins us to build the spatial layer for physical AI, giving machines the intelligence to reason, learn and act in the physical world.  Welcome to the team, Dave. Read more: hubs.ly/Q04ybP_l0 #PhysicalAI #SpatialAI #AI #Leadership #NianticSpatial

Some places are worth preserving in every dimension. Captured by Razvan Onisca and reconstructed with Scaniverse, Detunata Goală shows how 3D reconstruction can preserve natural environments, detect change, support hazard awareness, and enable navigation where GPS falls short. Learn more: hubs.ly/Q04ybPbL0 #PhysicalAI #SpatialAI #3DReconstruction #GaussianSplat #RealityCapture #Scaniverse #AI #3DGS

The real world is the ultimate test. Move from pilot to production faster. Turn real deployment sites into simulation-ready digital twins. Train and evaluate robot policies against real-world geometry and conditions before deployment. We’re looking for a small group of design partners to help shape what comes next, from generative variation to a continuous loop between deployment and simulation.  👉 Learn more: hubs.ly/Q04y8hc80

Heading to #AES2026?  Join Niantic Spatial & @SpexiGeospatial for a Demo Party with drinks, live demos, and a look at drone-to-3D in action.  See how aerial capture becomes an actionable, measurable 3D representation of the real world, meet the teams, and enter for a chance to win a DJI Mini 3 drone! RSVP here: hubs.ly/Q04y3SBB0 #AES2026 #NianticSpatial #Spexi #SpatialAI #3DGS #RealityCapture #Drones #GaussianSplat #AI #PhysicalAI

The future of Physical AI is city-scale. Together, Niantic Spatial and Singapore Land Authority (SLA) are exploring what it takes to enable precise, city-scale Physical AI. 👉 Read more: hubs.ly/Q04xWlJP0 ▶️ Learn more about SLA: hubs.ly/Q04xWlFt0 #PhysicalAI #SpatialAI #Robotics #SmartCities #AI

@KitGilbert is now GM of our new Embodied AI business, leading Niantic Spatial's work on building the scalable real-to-sim stack where embodied AI learns visual-spatial intelligence. Building for Embodied AI? Talk to Kit and learn more here: hubs.ly/Q04xVp-C0 #PhysicalAI #Real2Sim #EmbodiedAI #Robotics

☀️🌧️  Introducing Gaussian Splat Relighting, now in beta. Train embodied AI for changing real-world conditions. Using aligned meshes, we simulate new illumination and transfer it onto Gaussian splats—generating lighting, weather + time-of-day variants while preserving the underlying geometry, navigation + semantic data. Read more: hubs.ly/Q04xQyZM0 #GaussianSplats #EmbodiedAI #PhysicalAI #Real2Sim #3DGS  #Robotics #ComputerVision #A

Robots will operate in the physical world. The closer the simulation is to reality, the better robots can prepare for it. At @HumanoidsSummit Seoul, CEO @InhiChoSuh will share how Niantic Spatial’s real-world foundation models bridge the Real2Sim gap to enable faster, safer, more reliable robot deployment. Explore our Real2Sim2Real workflows and policy training with Flexion and NVIDIA: nianticspatial.com/blog/flex… #PhysicalAI #Robotics #SpatialAI #AI

World models that aren't grounded in the real world will never reach their potential for physical AI. 🌎 Just as RAG cut hallucination in LLMs, location-specific grounding lets robots choose the right action in the right place.  Read more about Niantic Spatial’s thinking: hubs.ly/Q04xBplB0 #WorldModels #PhysicalAI #AI #EmbodiedAI #SpatialAI #Robotics

🤖 What will it take to scale Physical AI? Niantic Spatial CEO @InhiChoSuh joins industry leaders at AI Infrastructure Summit in Santa Clara to discuss where today’s Physical AI architectures work, where they break, and what it will take to reach the next breakthrough. 📅 September 16 | 2:20 PM 👉 Learn more hubs.ly/Q04xgWKf0 #PhysicalAI #Robotics #SpatialAI #EmbodiedAI #AI

Tomorrow at @eccvconf 2026, we’re presenting AutoCompass. Given a photo + a 2D public map, AutoCompass can determine where the camera is and which way it’s facing, even when training data has noisy GPS and no heading labels. The result: precise localization anywhere a public map exists. Paper: arxiv.org/abs/2609.02798 Website: nianticspatial.github.io/aut… Video: piped.video/watch?v=hmUF6p3C… #ECCV2026 #PhysicalAI #SpatialAI #ComputerVision #AI

See why Niantic Spatial is named a Spatial AI Tech Innovator in @Gartner_inc research for our full-stack reality capture platform. Learn how unified Spatial AI can turn the physical world into and business value. 🔗 Access the Gartner® report: hubs.ly/Q04x3-9m0 #SpatialAI #PhysicalAI #3DReconstruction #DigitalTwins #AI

Physical AI gets real when it starts solving real-world problems. 🌎 From refineries to cities, we’re building real-world foundation models that help AI and machines understand and operate in physical environments. Thanks @a3automate for the feature! 🔗 Read more: hubs.ly/Q04wZsD70 #PhysicalAI #SpatialAI #Robotics #DigitalTwins #GaussianSplat #3DGS #AI

Niantic Spatial CTO Brian McClendon built Google Earth and led Google Maps. Now, he’s tackling the next big challenge: making the physical world simulation-ready for machines. The solution: Bring the real world into simulation with accurate Gaussian splats built for real-to-sim robot training. ▶️ Watch the full Beyond Coding podcast to hear Brian break down the technology, engineering, and vision behind it: hubs.ly/Q04wNDm30 #PhysicalAI #Robotics #GaussianSplats #3DGS #Real2Sim #SpatialAI

One pipeline. From drone capture to digital twin. 🌐 Thank you to the American Society of Civil Engineering (@ASCETweets) for featuring our partnership with Spexi and how we’re turning drone imagery into high-fidelity 3D digital twins, all in one pipeline. From the sky to real-world ground truth for Physical AI. 🔗 Read more: hubs.ly/Q04wDRT10 #PhysicalAI #SpatialAI #DigitalTwins #3DGS #GaussianSplat #AI #RealityCapture