METAGEO is a platform for hosting and visualizing 3D map data, enabling users to upload and analyze images, point clouds, and LiDAR datasets from various sources. It facilitates real-time collaboration and data sharing, allowing teams to mark issues, make measurements, and access a unified view of project data from any device.
Funding
$100K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations often struggle to efficiently manage and share large geospatial datasets collected from various sources, such as drones, mobile mapping systems, and LiDAR scanners. Existing solutions can be expensive, require specialized hardware, and lack seamless collaboration features, hindering real-time insights and decision-making.
Solution
MetaGeo is a cloud-based platform designed for hosting, visualizing, and analyzing 2D and 3D geospatial data. The platform enables users to upload and integrate diverse data types, including imagery, point clouds, and 3D models, into a unified environment. MetaGeo facilitates real-time collaboration through annotation tools, measurement capabilities, and permission-based sharing, ensuring all stakeholders operate from a common operating picture. Its proprietary data tiling technology allows for the efficient streaming and visualization of large datasets on various devices, eliminating the need for specialized hardware or software.
Target Audience
MetaGeo targets professionals in architecture, engineering, and construction (AEC), infrastructure inspection, mobile mapping, and surveying, as well as organizations involved in disaster response, energy, and utilities.
Features
- Supports upload and storage of images (from drones, phones, and aircraft), 360 images, point clouds, 3D mesh models, KMLs, geojsons and GPX files.
- Annotation tools for drawing, labeling, measuring, and tagging findings directly on images, maps, point clouds, and 3D models.
- Change detection slider to compare datasets over time and identify trends or defects.
- Integration with OGC, ESRI, and QGIS WMS imagery servers for cross-platform data access.
- Secure sharing via QR codes, external project share links (read-only), and internal project sharing with permission controls.
- Compatibility with Matterport and Luma AI through embed URLs.
- Data tiling technology for efficient streaming of large datasets on mobile, laptop, server, and desktop devices.