SBIR/STTR Research Award

Accelerate and amplify the impact of modelers everywhere

Award identifier d1a11610982ecefcbd8c5242edf455695a8c768a7cb75cc88c32b2efe077a1e6Awarding agency Department of Defense · Air Force

Award amount

$49,529

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
Sigopt, Inc.
Proposal award date
2020-03-09
Contract end date
2020-06-09
UEI
NN76CLUMD3M7
Solicitation number
20.1
Topic code
J201-CSO1

Research abstract

SigOpt’s platform automatically optimizes internal parameters of computational models and processes, such as high-performance computing simulations, machine learning, deep learning, and algorithmic trading models, to amplify their impact. It integrates directly with existing modeling software and automatically tunes its parameters. Users are able to access a range of optimization techniques that can be incorporated into virtually any existing codebase. SigOpt’s user interface communicates results of ongoing optimization cycles for clear tracking and offers various optimization control.

Technology keywords

Not reported

Awards with the same topic code

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

Agency intelligence

Department of Defense

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