SBIR/STTR Research Award

Scalable 3D Geospatial AI for Defeat of Cruise Missiles

Award identifier d582e684fcc7e3514ce85ba067054ebbf1c6daf492137ec71ef867030a88457aAwarding agency Department of Defense · Air Force

Award amount

$50,000

Program and phase

SBIR · Phase I

Award year

2020

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
ENVIEW, LLC
Proposal award date
2020-03-09
Contract end date
2020-06-08
UEI
KDF2WJW239Z9
Solicitation number
X20.1
Topic code
J201-CSO1

Research abstract

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 CMD system

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

6 SBIR/STTR records share this UEI (2019–2021). Reported award amounts total $3,319,979. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: Department of Defense

Agency intelligence

Department of Defense

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