Over the Reality 🌐

One of the Top 5 most valuable companies in the world has just acquired a license for Over the Reality 3D mapping dataset to train next-generation vision foundation models. This is a huge milestone for OVER 🧵👇

Our first research paper is now live on arXiv! 🔬 Our OVER Research team developed a method that uses the built-in IMU of Insta360 X5 and X6 cameras to recover real-world scale. The result? Just 0.81% mean absolute scale error vs. LiDAR, outperforming the smartphone-based reference. Another step toward making accurate 3D mapping accessible to everyone. 📄 Read the paper on arXiv: arxiv.org/abs/2610.35554 🔬 Explore the research on OVER Research: research.ovr.ai/posts/2026-0…

Mapping with Insta360 just got a whole lot easier. 🌍 See what's new 👉🏼 app.ovr.ai/insta360 No more walking around the virtual pyramid. Just open the OVER app, connect your Insta360, and start walking and earning. And there's more: we've added 173 MILLION new rewarded locations worldwide. A simpler way to map. A whole world of new opportunities to earn.

We just reached 300,000 locations mapped worldwide across 170+ countries! 🌍 Streets 🌉, buildings 🏙️, parks 🏞️, shopping malls 🏢, and entire environments . All mapped by our global community, all contributing to something much bigger. As Physical AI, Robotics, and Spatial intelligence continue to advance, some of the world's leading AI companies are looking for exactly this kind of data: real-world environments that can help machines understand, navigate, and interact with the physical world. And we're already working with them. We're already collaborating with some major AI companies and research labs, while actively engaging in discussions with others to explore new opportunities to license our growing dataset. Over the Reality is among the few projects worldwide building this kind of real-world 3D data infrastructure at scale, with a global community continuously expanding its coverage. 300,000 maps today. More locations, more data, more potential applications, and more opportunities to turn real-world spatial data into a valuable asset for the entire $OVR ecosystem. Become a mapper: app.ovr.ai/insta360

POV: you bought an @insta360 X6 for $700 and found out you can earn it back by walking. Insta360 X6 is now supported by OVER. 🌍 Grab your camera, open the OVER app, map incentivized locations around you, and earn rewards while you walk. Your camera just got a side hustle. Start mapping: link.ovr.ai/download

The value of mapping the world changes when AI enters the picture. At OVER, we’re currently working through opportunities with 6+ major companies and AI labs, with our first deal already closed with one of the 5 most valuable companies in the world. A new market is emerging around the physical world, with $OVR at the center of that value flow, and those already building the infrastructure and data layer for it will be best positioned to lead it.

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.

Build on top of the real world, directly from your phone. The OVER In-App Builder is now live. Open the app, create an experience, and place 3D assets directly into the physical world around you, in real time. And if the asset you need doesn't exist, you can create it on the spot with our AI 3D Asset Generator. Just describe what you want, generate it, and place it directly into your experience. Now available FOR FREE in the OVER app. link.ovr.ai/download

Imagine building a video game inside a real place. Capture a large environment with an Insta360 X5, walk through it, and let OVER reconstruct it as a large-scale Gaussian Splat. Now you have a digital version of that real-world space. Give it to AI and start building on top of it: add characters, missions, interactions, game mechanics, simulations, whatever you can imagine. Instead of creating the world from scratch, the real world becomes your starting point. And gaming is only one possibility. Once a place has been captured and transformed into reusable 3D spatial data, the same environment can become the foundation for XR, Robotics VPS, AI training, navigation, simulation and entirely new applications. Capture reality once. Build anything on top of it. And you can start doing it yourself with the Over the Reality app: link.ovr.ai/map2earn

We’ve updated our Insta360 X5 Mapping Guide. 📍 One of the most important changes is simple: keep each mapping session under 10 minutes and return to where you started. Ideally, walk for around 5 minutes, turn around, and map your way back to the same starting point. Why? Because the way you capture a location directly affects the quality of the 3D reconstruction. Better capture paths mean better geometry, more reliable reconstructions, and higher-quality Gaussian Splats like the one you see here. If you’re mapping with an @insta360 X5, make sure to follow the updated guide before your next session. Read the updated Mapping Guide: overthereality.ai/Insta360X5… Own an Insta360 X5? Start mapping and earning with OVER: link.ovr.ai/map2earn Using another 360° camera? Generate your Gaussian Splat for free on @FreeGaussian, powered by OVER: freegaussian.ai/

A Gaussian Splat can become a world where Robots and AI agents can act. In our latest OVER Research experiment, we placed a robot inside a real-world 3D capture, with a VLM making decisions based on what it sees. At every step, the robot holds a pose in the reconstruction, gets a newly rendered view of the environment, takes an action, moves, and sees the world again from its new position. Why does this matter? Because 3D captures can become more than reconstructions to explore. They can become environments where embodied AI and robots can navigate, act, be evaluated and eventually train across real-world spaces at scale. Capture a place once. Then turn it into a world where AI and Robots can act. The full experiment, including what we discovered once we actually put the loop to the test: research.ovr.ai/posts/2026-0…

We're proud to announce our partnership with @insta360 By combining Insta360 cameras with OVER's Spatial AI technology, we're making it dramatically easier to capture large real-world environments and transform them into persistent digital twins. We already put this workflow to the test at Città Fiera, one of Italy's largest shopping centers. A single operator walked through the venue with one Insta360 X5 and captured 150,000 m² and 230+ stores in just 90 minutes. OVER then transformed the footage into a high-fidelity digital twin powering its VPS, enabling centimeter-accurate indoor localization and AR navigation directly from a smartphone browser. The same digital twin can then power much more than navigation: centimeter-accurate VPS localization, persistent XR experiences, remote virtual exploration, robotics localization, simulation environments, spatial computing applications, and training data for next-generation AI models. This is the value of the partnership: making the capture of the physical world simple enough to scale, while OVER turns that capture into spatial infrastructure that can support multiple products and use cases. Read the full story on the Insta360 website: insta360.com/blog/insta360-X…

Can 1,000 real-world 3D scenes make a state-of-the-art model better? At OVER Research, we tested it by fine-tuning R3, a state-of-the-art streaming 3D reconstruction model, on roughly 1,000 scenes from the OVER dataset. The result: 25% lower trajectory error on our real-world environments compared to the deployed public checkpoint. And we did it using only 1,000 scenes, the same open dataset anyone can download for free, out of the 285,000+ real-world 3D scenes OVER has today. Read the full OVER Research publication: research.ovr.ai/posts/2026-0… Download the 1,000-scene dataset on Hugging Face: huggingface.co/datasets/Over…

How accurate is our automatic 360° reconstruction pipeline? We tested it against a LIDAR survey captured at the same time, on the same rig, over a 118m path. The result: 3.9 cm median agreement with LIDAR, with no measurable accumulated drift across the full trajectory. The one systematic discrepancy we found was a uniform 2.9% scale offset. Our reconstruction reproduces its own metric reference to 0.03%, showing that the geometry itself did not create the error. In other words, the hard part, reconstructing shape consistently over a large scene, is already working at centimeter-level agreement. Read the full OVER Research publication: research.ovr.ai/posts/2026-0…

Entire cities are being transformed into immersive digital twins faster than ever, creating the digital foundation that can help make them smarter, more connected, and easier to navigate. This complete historic town was captured with a single @insta360 X5 by one of our mappers and reconstructed by OVER into a high-fidelity 3D environment. What once required specialised equipment can now be captured simply by walking. Our mapping network is now covering more than 15,000 new locations every month, and it continues to grow as more mappers join. Every new mapper means more cities, shopping malls, museums, cultural landmarks, public spaces, and businesses being captured and transformed by OVER into detailed digital twins. These environments can support virtual exploration, indoor and outdoor navigation, location-based XR experiences, cultural preservation, Visual AI, VPS, Robotics localisation, and the development of spatial models capable of understanding real-world environments. Explore the complete digital twin and navigate the town: jumpin.ovr.ai/5c9bce98