Deep Earth specializes in leveraging geospatial data for advanced analysis and visualization. The company provides tools and services that transform complex spatial information into actionable insights for users. Their focus is on making detailed geographic understanding accessible to those with geospatial curiosity.
Funding
Funding not disclosed


Founders
Product
Problem
Organizations that need to plan infrastructure, assess environmental impact, or explore subsurface resources often grapple with fragmented geospatial datasets, limited analytical capabilities, and visualization tools that cannot accurately represent complex terrain. This leads to costly design errors, delayed project timelines, and insufficient insight into hidden geological features.
Solution
Deep Earth offers a cloud‑native platform that aggregates surface and subsurface geospatial data from satellite imagery, LiDAR, seismic surveys, and IoT sensors into a unified spatial database. The platform applies high‑resolution GIS processing and machine‑learning models to extract terrain attributes, stratigraphic layers, and risk indicators with centimeter‑level accuracy. Users can explore the data through interactive 3D visualizations, cross‑sectional views, and customizable dashboards that support scenario analysis and decision‑making. Results are delivered via secure APIs and export formats that integrate with existing CAD, BIM, and asset‑management systems, enabling engineers and analysts to incorporate precise geospatial intelligence directly into their workflows.
Target Audience
Primary customers include civil engineering firms, mining and exploration companies, environmental consulting agencies, and government bodies responsible for land‑use planning and infrastructure development.
Features
- Unified data ingestion engine that normalizes satellite, LiDAR, seismic, and ground‑sensor inputs into a single spatial reference framework
- High‑precision terrain modeling using raster‑to‑vector conversion and voxel‑based subsurface reconstruction for centimeter‑scale accuracy
- AI‑enhanced feature extraction (e.g., fault detection, soil classification, flood risk mapping) that reduces manual interpretation time
- Interactive 3D web viewer with real‑time slicing, drill‑hole visualization, and overlay of vector layers for detailed analysis
- RESTful and OGC‑compliant APIs for seamless integration with CAD, BIM, GIS, and asset‑management platforms
- Role‑based access control and end‑to‑end encryption to protect sensitive geospatial assets
- Automated report generation with customizable map layouts, statistical summaries, and export to PDF, GeoJSON, or DXF formats