SBIR-STTR Award

Scalable 3D Geospatial AI for Defeat of Cruise Missiles
Award last edited on: 12/20/21

Sponsored Program
SBIR
Awarding Agency
DOD : AF
Total Award Amount
$50,000
Award Phase
1
Solicitation Topic Code
J201-CSO1
Principal Investigator
Eleanor Crane

Company Information

Enview Inc (AKA: Enview LLC)

164 Townsend Street
San Francisco, CA 94107
   (650) 387-0664
   info@enview.com
   www.enview.com
Location: Single
Congr. District: 12
County: San Francisco

Phase I

Contract Number: FA8649-20-P-0792
Start Date: 3/9/20    Completed: 6/8/20
Phase I year
2020
Phase I Amount
$50,000
Enview develops leading Geospatial AI to map the world in 3D. Enview’s mission is to enhance National Security by ensuring the U.S. retains a strategic advantage in geospatial intelligence (GEOINT). Enview is committed to empowering end users with new capabilities to enhance decision-making and improve the timeliness of receiving actionable information to better support their mission. A consistent, operational need for CDM exists across both the U.S. Air Force and the Department of Defense (DoD). Forward-deployed warfighters need timely GEOINT results to enhance mission readiness and execution. However, data collection and analysis are currently theater-level or CONUS capabilities that individual end-users, such as forward-deployed Air Force squadrons, cannot rapidly task. Sending local data away from the Point of Need creates a gap in timeliness and insight that unnecessarily hinders rapid, effective decision-making. In support of commercial customers, Enview has built a scalable 3D Geospatial AI Engine. This Engine is capable of ingesting and fusing multiple data sources (e.g. imagery, LiDAR, Radar) and then invoking Enview-developed analytics that utilize multi-core processing to analyze massive geospatial data sets at scale to generate derived products such as 3D Terrain Models, Feature Classifications (e.g. buildings, airfields, vegetation models, power lines, hardened structures), Line of Sight Models and other geospatially-derived products. The AI Engine was designed and built from its origination to be data, sensor, and algorithm agnostic in its architecture to enable internal and client-driven rapid prototyping and deployment of algorithms at scale. The AI Engine makes use of software containerization and massively-parallel computing which are two state-of-the-art methodologies for large-scale analytics. These techniques provide the flexibility and speed needed to compute very large models. This containerization also enables Enview’s platform to be deployed into a variety of compute instances and locations, including forward-deployed for tactical GEOINT. Enview’s existing infrastructure and baseline platform will provide the foundation to rapidly implement, execute, and test algorithms within a matter of days from project start. It creates a ‘plug-and-play’ style platform for algorithm development and execution that represents a scalable and sustainable architecture, one that can be modified and scaled to meet the evolving needs of an enhanced C

Phase II

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Start Date: 00/00/00    Completed: 00/00/00
Phase II year
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Phase II Amount
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