--- title: Niantic Develops AI Navigation System Using Pokémon Go... description: Niantic is developing a Large Geospatial Model (LGM) to enhance spatial intelligence in AI, utilizing data from Pokémon Go and the Scaniverse app. With a vast... canonical: https://daily.dev/posts/niantic-develops-ai-navigation-system-using-pok-mon-go-player-data-uu7fud7bk twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Niantic Develops AI Navigation System Using Pokémon Go Player Data | daily.dev og:description: Niantic is developing a Large Geospatial Model (LGM) to enhance spatial intelligence in AI, utilizing data from Pokémon Go and the Scaniverse app. With a vast... og:url: https://daily.dev/posts/niantic-develops-ai-navigation-system-using-pok-mon-go-player-data-uu7fud7bk og:image: https://api.daily.dev/og/posts/uU7Fud7Bk.png og:image:alt: Niantic Develops AI Navigation System Using Pokémon Go Player Data og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Niantic Develops AI Navigation System Using Pokémon Go Player Data **[Collections](https://daily.dev/sources/collections)** · 2 min read · 1 upvotes · 0 comments ## Summary Niantic is developing a Large Geospatial Model (LGM) to enhance spatial intelligence in AI, utilizing data from Pokémon Go and the Scaniverse app. With a vast dataset of over 10 million scanned locations, the LGM processes geolocated images to aid in developing sophisticated AI capabilities for augmented reality and robotics. However, the use of player data raises significant privacy and consent concerns. ## Content # Niantic Develops Large Geospatial Model to Enhance Spatial Intelligence Using Pokémon Go Data Niantic has embarked on an ambitious project to develop a Large Geospatial Model (LGM) aimed at enhancing spatial intelligence in artificial intelligence systems. The LGM is designed to enable machines to understand and interact with physical spaces much like humans do. Leveraging a massive dataset accumulated from Pokémon Go players and users of the Scaniverse app, Niantic is building a model that processes geolocated images to create a comprehensive understanding of various locations globally. ## Leveraging Player Data The scale of Niantic’s data collection is notable, with over 10 million scanned locations globally and an additional 1 million new scans being added weekly. This data is processed by a network of 50 million neural networks, each handling trillions of parameters, to develop a thorough and detailed model that can accurately represent and predict spatial environments. These capabilities are integrated with Niantic’s Visual Positioning System (VPS), which allows for precise positioning and interaction with digital content in the real world. ## Applications and Advancements The development of the LGM signifies AI's evolution from handling text and 2D models to mastering complex 3D spatial understanding. This advancement is expected to drive significant progress in various fields, including augmented reality (AR) technology and robotics. For instance, the LGM can improve spatial planning and navigation, making it possible for AR applications and autonomous machines to operate more effectively in diverse environments. ## Privacy and Consent Concerns While the technological advancements brought by the LGM are impressive, they also highlight ongoing privacy and consent concerns. The data used to build the model was collected from Pokémon Go players, many of whom may have been unaware of the extent to which their geolocated images were being utilized. This situation raises important questions about user consent and data privacy in the AI and gaming industries. ## Conclusion Niantic’s initiative to develop a Large Geospatial Model using data from its extensive player base showcases a significant leap towards achieving sophisticated spatial intelligence in AI. By leveraging geolocated images and integrating advanced machine learning techniques, Niantic aims to create a model that will greatly enhance our interaction with digital and physical worlds. Despite the privacy concerns, the potential applications of this technology promise exciting advancements in AR, robotics, and beyond. ## Similar posts on daily.dev - [Don’t just attend KubeCon \+ CloudNativeCon, Merge Forward your experience\!](https://daily.dev/posts/don-t-just-attend-kubecon-cloudnativecon-merge-forward-your-experience--l0rpp73x8) · CNCF · 1 upvotes · 0 comments - [Announcing H2 2026 KCDs](https://daily.dev/posts/announcing-h2-2026-kcds-m96goajm1) · CNCF · 1 upvotes · 0 comments - [Two months of Open Community Groups](https://daily.dev/posts/two-months-of-open-community-groups-asf52zhbs) · CNCF · 0 upvotes · 0 comments - [CNCF Unveils Schedule for KubeCon \+ CloudNativeCon Europe 2026](https://daily.dev/posts/cncf-unveils-schedule-for-kubecon-cloudnativecon-europe-2026-ikhcoa5cb) · CNCF · 2 upvotes · 0 comments - [CNCF Debuts KubeCon \+ CloudNativeCon Japan 2026 Schedule](https://daily.dev/posts/cncf-debuts-kubecon-cloudnativecon-japan-2026-schedule-xp5pyudub) · CNCF · 1 upvotes · 0 comments --- Tags: [#ai](https://daily.dev/tags/ai), [#machine-learning](https://daily.dev/tags/machine-learning), [#gaming](https://daily.dev/tags/gaming), [#privacy](https://daily.dev/tags/privacy) [View this post on daily.dev](https://daily.dev/posts/niantic-develops-ai-navigation-system-using-pok-mon-go-player-data-uu7fud7bk) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Niantic Develops AI Navigation System Using Pokémon Go Player Data","url":"https://daily.dev/posts/niantic-develops-ai-navigation-system-using-pok-mon-go-player-data-uu7fud7bk","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/niantic-develops-ai-navigation-system-using-pok-mon-go-player-data-uu7fud7bk"},"datePublished":"2024-11-20T17:29:22.733Z","dateModified":"2024-11-20T23:41:13.786Z","description":"Niantic is developing a Large Geospatial Model (LGM) to enhance spatial intelligence in AI, utilizing data from Pokémon Go and the Scaniverse app. With a vast...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/b1c822741f2900a498df185362bda2d4?_a=AQAEuj9","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/b1c822741f2900a498df185362bda2d4?_a=AQAEuj9","isAccessibleForFree":true,"articleSection":"Collections","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Collections","logo":"https://media.daily.dev/image/upload/s--fk_6ycEi--/f_auto,q_auto/v1780996001/logos/collections?_a=BAMAMiWQ0","url":"https://daily.dev/sources/collections"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/niantic-develops-ai-navigation-system-using-pok-mon-go-player-data-uu7fud7bk","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":1},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"ai,machine-learning,gaming,privacy","timeRequired":"PT2M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Collections","item":"https://daily.dev/sources/collections"},{"@type":"ListItem","position":3,"name":"Niantic Develops AI Navigation System Using Pokémon Go Player Data"}]} ```