SBIR/STTR Research Award

A machine learning platform to extract relevant information quickly from unstructured documents.

Award identifier 006f99375212333664dd7b9b8e7011bab6b84b8c9a6e457e0bd39de0626a674cAwarding agency Department of Defense · Air Force

Award amount

$49,507

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
AGILE DATA DECISIONS, INC.
Proposal award date
2020-03-09
Contract end date
2020-06-09
UEI
ZMBDULP64AJ3
Solicitation number
X20.1
Topic code
J201-CSO1

Research abstract

iQC, a machine learning platform, can be easily and quickly trained by subject matter experts (SMEs) through an intuitive Graphical User Interface (GUI) to extract relevant data from large quantities of unstructured documents and text files or streams. Intelligence analysts, for example, can utilize iQC to process hundreds of thousands of unstructured documents, text files, and data streams, in any language, quickly and thoroughly, allowing them to perform their analyses rapidly on larger sets of data. iQC is being utilized already by data managers in major oil and gas companies to extract data relevant to them from 60,000 documents such as PDFs, images, text files and MS Office documents.

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

5 SBIR/STTR records share this UEI (2020–2024). Reported award amounts total $1,770,880. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, Department of Homeland Security

Agency intelligence

Department of Defense

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