Splat Labs
Splat Labs is an enterprise cloud platform for 3D reality capture that lets users capture, host, and share immersive Gaussian Splat digital twins in seconds. It makes photorealistic 3D environments viewable on any device, with no software, plugins, or downloads required. Gaussian Splatting renders scenes as millions of tiny 3D Gaussian blobs, each with its own position, color, and opacity, creating a realistic environment that can run at 90+ FPS in a browser. Splat Labs works alongside existing capture workflows, including LiDAR, photogrammetry, drones, and splats from tools such as Postshot, Polycam, XGRIDS, DJI, Luma AI, Kiri Engine, and PortalCam. It turns raw splat files into interactive digital twins your entire team can use: upload once, share instantly, and let anyone explore through one link. Users can measure distances and areas directly inside the 3D scene, generate AI floor plans, redesign spaces with AI virtual staging, compare scans over time with 4D timelines.
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Spatial Studio
Spatial Studio by Real Horizons is the premier platform for spatial visualization, built to transform raw footage into immersive 3D tours powered by Gaussian Splatting, 360° panoramas, and Google 3D Maps. It turns complex 3D production into a polished publishing workflow, connecting capture, generation, authoring, and real-estate-ready presentation in one system. Its Unified Spatial Engine blends Google 3D Maps, 360 panoramas, and Gaussian Splats in one continuous narrative, letting users move from neighborhood context to room-level detail without changing tools. Cloud Splat Generation turns raw video, images, or photogrammetry into optimized splats in the cloud with quality presets, LOD control, and publishing-ready alignment. Interactive Storytelling lets users place annotations, CTAs, hotspots, fly-throughs, floor plans, and unit selectors directly inside the scene, guiding attention and adapting tours to different campaigns.
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PAT-Man
Facing strict quality demands from the automotive industry, semiconductor companies are increasingly applying Part Average Testing (PAT) to enhance reliability. PAT identifies and removes "outlier" parts that pass standard tests but exhibit abnormal characteristics, reducing long-term quality and reliability issues. By statistically analyzing multiple devices and adjusting pass/fail limits, PAT proactively identifies these problematic parts for exclusion, ensuring only the most reliable components reach production shipments. Part Average Testing ( PAT ) as detailed in the Automotive Electronics Council AEC-Q001-Rev C specifications only covers DPM techniques for normal (Gaussian) distributions. However, many distributions do not fall into the Gaussian category and require adapted PAT outlier detection methods to avoid excessive yield loss or incorrect outlier detection. PAT-Man is a comprehensive solution for Part Average Testing (PAT).
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MeshMap
MeshMap is an open 3D mapping platform designed to accelerate innovation in spatial applications and experiences. Users can contribute to building a comprehensive 3D map of the world by scanning environments using devices like smartphones, drones, or professional equipment, and submitting these scans to MeshMap for rewards. The platform supports various scanning methods, including LiDAR, photogrammetry, and Gaussian splatting, with preferred export formats such as .gltf and .ply files. MeshMap offers a Unity SDK to streamline the creation and publication of extended reality applications, enabling creators to import scans, design content, and share it globally. The platform prioritizes compatibility across devices and platforms, supporting Meta Quest 3 and Magic Leap 2, with plans for future expansions. By fostering a contributor-owned, community-managed mapping network, MeshMap aims to democratize access to high-precision, high-coverage 3D maps.
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