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Technergetics, LLC SBIR Phase II Award, June 2020

A SBIR Phase II contract was awarded to Technergetics, Llc in June, 2020 for $1,499,999.0 USD from the U.S. Department of Defense and United States Air Force.

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Contents

sbir.gov/node/2198247
Is a
SBIR/STTR Awards
SBIR/STTR Awards

SBIR/STTR Award attributes

SBIR/STTR Award Recipient
Technergetics, Llc
Technergetics, Llc
0
Government Agency
U.S. Department of Defense
U.S. Department of Defense
0
Government Branch
United States Air Force
United States Air Force
0
Award Type
SBIR0
Contract Number (US Government)
FA8649-20-C-01320
Award Phase
Phase II0
Award Amount (USD)
1,499,9990
Date Awarded
June 16, 2020
0
End Date
September 16, 2022
0
Abstract

InfinityAI will operationalize AI with an accredited AI/ML-focused architecture to overcome current DoD Enterprise technical limitations and enable meaningful human-machine teaming. This ecosystem is a baseline for AI superiority, which bonds data scientists, algorithm developers, commercial technology, and warfighter to achieve mission success. InfinityAI helps identify mission requirements in need of AI support. It collects necessary data via an open connector API, feeding to a robust AI data repository, currently missing from the DoD Enterprise. This repository manages the collection of raw and labeled data, provides access for algorithm development, and eases model validation. Operationally relevant data empowers data science to maximize algorithm accuracy before deployment. AI suffers from limited paths to operations. This hinders the warfighter and data scientist, results in unattainable benefits, and deters market competition from advancing operational AI models. InfinityAI overcomes this by providing a process for staging, refining, and deploying algorithms while factoring in security, performance, and accuracy checkpoints. This ensures that models transitioned into operations provide accurate, expected impact. Users leverage a metric dashboard to explore algorithm performance, and user feedback is captured, encouraging crowdsourced methods to increase algorithm relevancy and accuracy. This prevents operational AI “black boxes,â€Â instead providing a collaborative, beneficial experience.

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