Rapid Phase II: Use of Cloud Based Geospatial Analytics Software for Enhanced Data Fusion & Situational Awareness

Descartes Labs(DL) will demonstrate the capability to deploy and integrate a globally scalable data architecture with USAF prototype C2 and MDC2 enterprise platforms. This objective will be demonstrated by: 1) ingesting USAF and commercial datasets in near real-time on the DL Platform, 2) implementing deep learning models across multiple ISR sensors (notably WAMI) to demonstrate rapid operationalization of automated analysis, and 3) creating vector products and streaming results in real-time for C2 and MDC2 platforms to tip/cue. Accomplishing this objective will consist of value demonstrations of existing capabilities as well as further development of DL’s hyper-scale platform to fit Air Force requirements and projected operational concepts. Additional development to this platform will include the addition of USAF datasets, adaptation and deployment of deep learning model(s) on these datasets, and the extension of DL’s vector capability to support streaming data. Throughout the 24 month life-cycle, we will support USAF data scientists to co-operate on the platform as well as offering quarterly training.