• Opal AI specializes in spatial intelligence, transforming geospatial, point-cloud, and video data into actionable 3D models and insights.
• The company serves various industries including infrastructure, real estate, utilities, and wildfire response.
• It utilizes advanced AI, deep learning, and 3D reconstruction to produce high-fidelity digital twins and predictive insights.
• Key applications include creating Building Information Models (BIM) from LiDAR and 360° scans, automating city-street asset mapping, and analyzing satellite imagery for environmental risks.
• Purpose-built workflows such as ScanToBIM, Urbanomy, and FireVision enhance automated reasoning, data processing, and model specificity.
• Opal AI aims to help organizations speed up design, maintenance, and risk management processes while reducing manual efforts.
Browser-accessible and cloud-driven spatial-AI workflows that ingest LiDAR, point clouds, 360° video or imagery
ScanToBIM pipeline: upload scan data (E57, LAS, LAZ, MKV etc) and receive 2D floorplans, 3D CAD models and optionally virtual tours
Urbanomy infrastructure analytics: high-resolution mapping and detection of dozens of road and street assets to support maintenance, ADA compliance and smart-city planning
FireVision wildfire intelligence: satellite, SAR and video imagery processed by AI for utilities, insurers and fire-agencies to assess and respond to fire risk
Large built-in component and material libraries to enrich models with semantic detail (walls, windows, doors, furniture) for automated modelling
Mobile-friendly scanning via the ScanTo3D mobile application, enabling on-site capture of environments and real-time model generation
Automated 3D reconstruction and scene-understanding models: detection of structural geometry, spatial relationships and material properties for downstream BIM, facility-management and digital-twin use cases
Cloud-based collaboration and output formats compatible with CAD, BIM and virtual-tour workflows—enabling architects, owners and stakeholders to visualise, annotate and share designs
Custom analytics and reporting tools for infrastructure and asset-management: from scanned data to identified defects, mapped assets and proactive decision-making
Scalable enterprise workflows backed by research and funding (e.g., partnerships with the NSF and national universities) to ensure reliability, performance and domain compliance
What is Opal AI and what types of organisations does it serve?
Opal AI is a spatial-intelligence platform that converts scan data, imagery and video into detailed 3D models, maps and analytics. It serves organisations across infrastructure, real-estate, utilities, insurers and government agencies that need automated modelling, asset detection and risk insights.
How does the ScanToBIM process work?
Using the ScanToBIM workflow, you upload LiDAR or 360° camera data (in formats such as E57, LAS, LAZ, MKV etc), then the platform generates a 2D floor plan, a 3D CAD model (with structural components like walls, windows, doors) and optionally a virtual tour—all creating a detailed BIM from raw scan data.
Can Opal AI help cities and municipalities with infrastructure planning?
Yes — through the Urbanomy service, Opal AI maps urban-street assets (over 30 types such as sidewalks, bike lanes, crosswalks) using high-resolution imagery, enabling data-driven decisions, proactive maintenance and ADA compliance.
What formats and capture methods are supported for on-site scanning?
The platform supports input from LiDAR scanners and 360° cameras, and also offers the ScanTo3D mobile app (for iPhone/iPad Pro) enabling on-site scanning. Uploaded scan formats include E57, LAS, LAZ, INSV, MKV, MP4, AVI and more.
How does Opal AI ensure scalability and industry readiness?
Opal AI’s workflows are built on advanced deep-learning, 3D reconstruction and scene-understanding models, are backed by research grants (e.g., National Science Foundation) and are designed for enterprise-scale capture, modelling and analytics across multiple industries.