SBIR/STTR Research Award

Integration of AI Technology and Satellite & Fundamental Market Data to improve Air Force Supply Chain

Award identifier 8b04f40c5d49a1b330ef8453e5f84dcd183897cf6513dfcf0bfb3b9960fd37f6Awarding agency Department of Defense · Air Force

Award amount

$49,892

Program and phase

SBIR · Phase I

Award year

2021

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
Particle.One Inc.
Proposal award date
2021-02-05
Contract end date
2021-05-03
UEI
NZ1QCEK587L8
Solicitation number
X20.3
Topic code
AF203-CSO1

Research abstract

Particle.One is a software platform for quantitative analysis. It offers significant improvements over existing systems. Particle.One  tracks 70+ commodities in the energy, agriculture, and precious & base metals sectors across 150+ countries. Particle.One uses artificial intelligence (AI) and machine learning (ML) to collect, analyze, and organize time series data. Particle.One uses this ‘cleaned’ data to more accurately forecast movements in the prices of global commodities, and future supply and demand. We collect real-time information from original sources and maintain a point-in-time database of over 150 million time series. Our data sources are international and local, and our system is capable of quantifying data printed in a number of different languages. We populate this metadata into the Knowledge Graph. The Knowledge Graph is a clear depiction of the time series data relevant to price drivers for a certain commodity.   Users rely on Particle.One to: Determine the relevant commodities (crude oil, oil derivatives, precious and base metals, etc.), with direct application to procurement systems  Create a network of important price drivers (supply and demand indicators) for each commodity Detect and isolate relevant data from large sections of market raw data Use this data to determine market impact as well as forecast global supply and demand Present findings in a simple-to-understand Knowledge Graph. The Knowledge Graph represents time series data and uses ML to explore relationships (leading, lagging, or casual) between time series Particle.One collects, analyzes, and organizes raw data to predict the behavior of commodities markets in the future. The system tracks the time series most relevant to the size and scope of our customers. For clarity, we offer adaptations in presentation, depending on user experience and preferences. We support RESTful API, FTP, and a dashboard interface. Over the course of our Phase I effort, Particle.One will contact relevant personnel and/or consortium expertise within Space Force. We will engage in meaningful conversations with committed and empowered customers and end-users. Our goal will be to demonstrate our technology and move forward into Phase II.

Technology keywords

Not reported

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Agency intelligence

Department of Defense

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