About
Emesent pioneers Physical AI — the convergence of artificial intelligence, autonomous robotics, and advanced spatial computing — to help organizations map, visualize, and understand environments that are dangerous or otherwise inaccessible to humans. Their flagship hardware, the GX1 all-in-one LiDAR scanner, combines SLAM (Simultaneous Localization and Mapping), RTK positioning, and 360° panoramic imagery into a single portable device. The Hovermap payload extends autonomous mapping capabilities to drones such as the DJI M350 and Freefly Astro Max, as well as ground robots like the Boston Dynamics Spot. On the software side, Emesent offers Aura for data processing and visualization, Commander for mission planning and drone control, and Cortex for autonomous navigation in GPS-denied spaces. These tools integrate with third-party workflows for AEC and mining professionals. Key use cases include underground mine production mapping, open pit surveys, stockpile measurement, stope reconciliation, construction as-built surveys, bridge inspections, Scan-to-BIM workflows, and topographic mapping. Emesent serves enterprise customers in mining, AEC, defense, geospatial, oil and gas, and public safety sectors globally, offering a full ecosystem of hardware accessories, software extensions, and partner integrations.
Key Features
- SLAM-Based LiDAR Scanning: Industry-leading Simultaneous Localization and Mapping (SLAM) technology delivers highly accurate 3D point clouds even in GPS-denied and featureless underground environments.
- Emesent GX1 All-in-One Scanner: Portable handheld device combining SLAM, RTK positioning, and 360° panoramic imagery for fast mobile mapping without infrastructure setup.
- Autonomous Drone & Robot Navigation: Hovermap and Cortex software enable drones and ground robots to navigate, avoid obstacles, and map autonomously in complex, unstructured environments.
- Multi-Platform Software Suite: Aura, Commander, and Cortex software provide end-to-end workflows from mission planning and autonomous flight control to data processing and 3D visualization.
- Third-Party Integrations: Supports integration with leading AEC and mining software workflows, enabling seamless Scan-to-BIM pipelines and mine planning data handoff.
Use Cases
- Mapping underground mine stopes and tunnels autonomously to improve production reconciliation and safety without putting personnel in hazardous zones.
- Conducting rapid as-built surveys of construction sites and infrastructure using mobile LiDAR to compare against design models and generate Scan-to-BIM deliverables.
- Performing routine bridge inspections with drone-mounted Hovermap to capture detailed 3D point clouds without scaffolding or lane closures.
- Measuring open pit mine stockpiles and monitoring convergence for volume estimation and geotechnical risk management.
- Supporting defense and public safety teams with autonomous mapping of complex, unstructured environments for situational awareness and mission planning.
Pros
- GPS-Denied Mapping Capability: Operates reliably underground, indoors, and in other GPS-denied spaces where traditional survey tools fail, unlocking access to previously unmappable environments.
- Versatile Hardware Ecosystem: Supports multiple robotic platforms including drones, wheeled robots, and handheld scanners, giving teams flexibility across different operational scenarios.
- Enterprise-Grade Accuracy: Combines RTK and SLAM for survey-grade accuracy, making outputs suitable for professional engineering, mining reconciliation, and as-built deliverables.
- End-to-End Solution: Unified hardware, software, and cloud platform reduces the need to stitch together multiple vendor tools for field capture through deliverable generation.
Cons
- Enterprise Pricing with No Public Rates: Pricing requires a direct inquiry, making it difficult for smaller teams or individual professionals to assess affordability upfront.
- Specialist Hardware Dependency: Full capabilities require proprietary Emesent hardware (GX1, Hovermap), representing significant capital investment compared to software-only solutions.
- Steep Learning Curve: Autonomous drone operations and SLAM-based scanning workflows require specialized training, which may increase onboarding time for new users.
Frequently Asked Questions
SLAM (Simultaneous Localization and Mapping) is an AI technique that lets a device build a map of an unknown environment while simultaneously tracking its own position within it — without needing GPS. Emesent uses SLAM to enable accurate mapping in underground mines, tunnels, buildings, and other GPS-denied spaces.
The GX1 is Emesent's all-in-one mobile LiDAR scanner that integrates SLAM, RTK positioning, and 360° panoramic imaging in a single handheld device, designed for fast and accurate field mapping.
Emesent serves mining, architecture engineering and construction (AEC), defense, geospatial, oil and gas, and public safety industries globally.
Yes, the Hovermap payload is compatible with several third-party robotics platforms including the DJI M350 drone, Freefly Astro Max drone, and Boston Dynamics Spot robot.
Emesent provides dedicated third-party software workflow guides for AEC and mining professionals, enabling data export and integration with common industry tools for Scan-to-BIM, mine planning, and topographic deliverables.