Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into various industries. This time, you get to discover five hand-picked point cloud startups.
Out of 228, the Global Startup Heat Map highlights 5 Top Point Cloud Startups
The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering 2 093 000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & relevant startups within a specific field in just a few clicks.
The Global Startup Heat Map below reveals the distribution of the 228 exemplary startups & scaleups we analyzed for this research. Further, it highlights five point cloud startups that we hand-picked based on criteria such as founding year, location, funding raised, and more. You get to explore the solutions of these five startups & scaleups in this report. For insights on the other 223 point cloud solutions, get in touch with us.
Click to download
Correvate develops a Point Cloud Processing Platform
Founding Year: 2017
Location: London, UK
Partner with Correvate for Construction Planning
UK-based startup Correvate develops Vercator, a point cloud processing platform that enables automatic alignment and analysis of 3D point cloud datasets. It uses AI to automatically extract insights by classifying objects in point cloud data. Additionally, the platform is quick to set up, scales according to demand, increases efficiency with automation, and processes large datasets in a short duration. The startup’s cloud-based platform enables surveyors, architects, and construction engineers to create a digital twin of their projects quickly and efficiently.
Anolytics offers 3D Point Cloud Annotation
Founding Year: 2016
Location: New York, USA
Reach out to Anolytics for 3D Data Classification
US-based startup Anolytics specializes in low-cost annotation to develop machine learning and AI models. The startup’s 3D point cloud annotation tool visualizes objects labeled in the 3D point cloud for more precise detection and classification. It also detects objects up to 1cm with 3D boxes in LiDAR data as well as identifies an object’s motion in videos. This solution finds applications in autonomous vehicles, robotics, healthcare, and retail industries.
Solv3D builds Geospatial Data Visualization Software
Founding Year: 2017
Location: Calgary, Canada
Funding: USD 991 000
Collaborate with Solv3d for Cloud-based Geospatial Data Processing
Canadian startup Solv3D creates geospatial data visualization software solutions. The startup’s desktop application, SOLV3D engine, allows users to process, analyze, visualize and share geospatial datasets. Its other product, SOLV3d encompass, combines datasets from various sources, including data from sensors and satellites, to facilitate collaboration between designers. These web-based applications enable architects, civil engineers, and autonomous vehicle developers users to integrate large 3D point clouds and immersive imagery within their existing workflows, increasing productivity.
Faramoon develops Building Information Modeling (BIM) Software
Founding Year: 2016
Location: Melbourne, Australia
Funding: USD 150 000
Use Faramoon’s Solution for LiDAR Data Point Modeling
Australian startup Faramoon provides BIM software that creates 3D models of buildings using point clouds. The software converts LiDAR data into building information model data with building components such as walls, doors, windows, floors, and ceilings. The software supports various point cloud file types, such as e57, las, pts, and pcd, and 3D models, like Autodesk Revit and IFC. Through this software, engineers and architects are able to quickly transform building data into 3D visualizations to accelerate project development.
Taglabs develops a 3D Rendering Engine
Founding Year: 2017
Location: Nantes, France
Innovate with Taglabs for Virtual Factory Management
French startup Taglabs develops a 3D rendering engine to optimize facility management and BIM using point clouds. The startup’s software, ScanSap, uses proprietary algorithms and a 3D engine. The combination creates virtual models based on data generated from large surveys. It also features rapid detection of pipes and annotation of point clouds with detailed and configurable tags. This solution enables their clients to only model necessary components or areas with high accuracy, also reducing 3D modeling costs.
Discover more Digital Startups
Startups such as the examples highlighted in this report focus on 3D data classification, geospatial data visualization, BIM software as well as virtual factory management. While all of these technologies play a major role in advancing various industries, they only represent the tip of the iceberg. To explore these technologies in more detail, let us look into your areas of interest. For a more general overview, download one of our free Industry Innovation Reports to save your time and improve strategic decision-making.
