SBIR/STTR Research Award

RippleWorx AFX20D-TCS01 - Phase I Open Topic supporting Agility Prime: Open Call for Innovative Defense-Related Dual-Purpose Technologies/Solutions

Award identifier 16df4237e1fee02ae6848d03a710644c433b88cfed32dcd0c8739aff7fa52ab5Awarding agency Department of Defense · Air Force

Award amount

$149,899

Program and phase

STTR · Phase I

Award year

2021

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
RIPPLEWORX INC
Proposal award date
2021-01-29
Contract end date
2021-07-21
UEI
GFFJCJETJL77
Solicitation number
X20.D
Topic code
AFX20D-TCSO1

Research abstract

RippleWorx’s proposes to discover, document and design a prototype implementation of our commercially viable and deployed solution that is suitable to the needs of the U.S. Air Force to improve logistics missions, disaster response, and administration of humanitarian aid in the realm of Vertical Takeoff and Landing, and disaster relief efforts. RippleWorx, a woman-owned business, will use its patenting pending data algorithm, combined with Acclinate Genetics a research institute and, a veteran and minority-owned business to support this effort.  Finally, Dr. Mark Pearson, acclaimed researcher and professor at USC, will augment this proposal through his recent research on human behavior through disasters, most notably with COVID-19.  This combined team will be known as “Team RippleWorx” for the rest of the proposal. RippleWorx’s proposes to discover, document and design a prototype implementation of our commercially viable and deployed solution that is suitable to the needs of the U.S. Air Force to improve logistics missions, disaster response, and administration of humanitarian aid in the realm of Vertical Takeoff and Landing, and disaster relief efforts. RippleWorx, a woman-owned business, will use its patenting pending data algorithm, combined with Acclinate Genetics a research institute and, a veteran and minority-owned business to support this effort.  Finally, Dr. Mark Pearson, acclaimed researcher and professor at USC, will augment this proposal through his recent research on human behavior through disasters, most notably with COVID-19.  This combined team will be known as “Team RippleWorx” for the rest of the proposal.   RippleWorx uses machine learning and AI to assist in understanding how to best mitigate a disastrous situation.  This is accomplished through the business intelligence of the RippleWorx software to correlate key data from existing time-series data such as biometric, GPS, telematic, optical radar, infrared, and electronic signals along with trends in genetics and sentiment analysis. Designed for big-data, RippleWorx’ patent-pending algorithm can be used as a basis to develop new models designed for disaster recovery.  This holistic view of data will identify key targets of interest across domains and alert key decision makers of these identified targets of interest in real-time. RippleWorx is designed to analyze trends and notify key personnel when a change has occurred. RippleWorx supports this in both a mobile and a web-based version today. Finally, RippleWorx presents the data in a real-time format in a report or dashboard-format.  Operators can use RippleWorx’s integrated environment to distribute key intelligence in order to improve the efficiency of operational decision making.  RippleWorx designed the interface with WarnerMedia and Special Forces experts so that it is state-of-the-art and highly capable of presenting data in an actionable manner.

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

3 SBIR/STTR records share this UEI (2020–2022). Reported award amounts total $947,030. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

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