BLOOM SPATIAL
Summary of public USPTO data
- Owner
- Bloom Spatial, Inc.
- Status
- Live/Registered
- Serial number
- 99652349
- Registration number
- 8520291
- Filing date
- 2026-02-13
- Registration date
- 2026-10-27
- International classes
- 42
Goods and services
Class 42
- Software as a service (SAAS) services featuring software for vegetation management, geospatial analysis, work planning, risk modeling, and field data collection for electric utilities
- Software as a service (SAAS) services featuring software for accessing and analyzing remote sensing data, LiDAR data, and soil and elevation data, for managing field workflow information, and for integrating data with existing geographic information systems
- Providing on-line non-downloadable software for vegetation management, geospatial analysis, work planning, risk modeling, and field data collection for electric utilities
- Providing on-line non-downloadable software for accessing and analyzing remote sensing data, LiDAR data, and soil and elevation data, for managing field workflow information, and for integrating data with existing geographic information systems
- Providing on-line non-downloadable software for vegetation management, geospatial analysis, work planning, risk modeling, and field data collection for electric utilities with Artificial Intelligence ("AI") enabled functionality and analytics
- Providing on-line non-downloadable software for accessing and analyzing remote sensing data, LiDAR data, and soil and elevation data, for managing field workflow information, and for integrating data with existing geographic information systems with Artificial Intelligence ("AI") enabled functionality and analytics
- Software as a service (SAAS) services featuring software for vegetation management, geospatial analysis, work planning, risk modeling, and field data collection for electric utilities with Artificial Intelligence ("AI") enabled functionality and analytics
- Software as a service (SAAS) services featuring software for accessing and analyzing remote sensing data, LiDAR data, and soil and elevation data, for managing field workflow information, and for integrating data with existing geographic information systemswith Artificial Intelligence ("AI") enabled functionality and analytics