.@ROVR_Network's Open Dataset is 10x the size of its web2 competitors.The dataset is being used to train and deploy systems for autonomous driving, robotics, and spatial AI solutions@NaytheForceBwU has full report for free below 👇Matthew Nay (@NaytheForceBwU):.@ROVR_Network released their Open Dataset earlier this year, which has more than 30M KM of driving data, from over 100 countries, and over 1M hours.NVIDIA has only 1,727 hours in its open-sourced dataset from 25 countries, and Waymo has only 570 hours ...

Core Insights - The report highlights that Spatial AI is enhancing AI's value by integrating 3D context with physics, driven by advancements in physical AI, reality capture, and spatial development frameworks [2] - VERSES AI Inc. has been recognized as a sample vendor in the 2025 Gartner Emerging Tech Impact Radar for its contributions to Spatial Computing and World Models [1][3] - The Spatial Web is described as a transformative shift that will monetize physical reality, creating a World Wide Web for the real world, but requires proper tools for effective implementation [2] Industry Trends - By 2035, it is projected that every autonomous system will incorporate a standardized Spatial AI layer, increasing from less than 1% in 2025 [4] - By 2028, five of the top 10 AI companies are expected to pivot towards specialized physical AI solutions, potentially sidelining digital-only competitors [4] Company Strategy - The company aims to accelerate leadership in spatial AI through active engagement in standardization efforts and focusing on high-value 'phygital' use cases [5] - The company plans to refine user interface design for proof-of-concept use cases that benefit from phygital interactions, such as product marketing and physical commerce [5] - The company is involved in the IEEE Spatial Web Working Group and intends to implement Spatial AI by supporting HSML and HSTP standards in its product, Genius [2][3]

ROVR is releasing an Open Dataset consisting of ~200,000 clips (synchronized snapshots combining imaging and LiDAR) via the @ROVR_Network Open Dataset.This will democratize access to real-world 3D data.Read the full report 👇 https://t.co/krjLDc2UMcYoussef (@0xYoussef_):The Open Dataset released by @ROVR_Network combines LiDAR and camera footage captured from its DePIN network to train and develop spatial AI systems for diverse conditions encountered in the real world. ...