SBIR/STTR Research Award

Primer: Automated Text Data Processing to Extend AF S&T Advantage

Award identifier 79e42cf401c663670ed767974e4cd95d1b1d53bdc8e936b0923b9ae22a707cb1Awarding agency Department of Defense · Air Force

Award amount

$74,975

Program and phase

SBIR · Phase I

Award year

2023

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
PRIMER FEDERAL INC
Proposal award date
2022-11-09
Contract end date
2023-02-09
UEI
HLVJPF2S6WN5
Solicitation number
X22.4
Topic code
X224-OCSO1

Research abstract

Primer builds machines that can read and write with human-level precision with AI Natural Language Processing (NLP) technology deployed by some of the world’s largest government agencies, financial institutions, and Fortune 50 companies like WalMart and Procter & Gamble. Customers have realized significant value from techniques to summarize unstructured data across many different challenges and job functions. Primer’s NLP engine model achieved an industry-leading 95.6% F1 score on the benchmark CoNLL dataset taking on average 50ms to process a 2,000 word document saving knowledge workers enormous sums of time and money.

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

7 SBIR/STTR records share this UEI (2023–2024). Reported award amounts total $4,839,391. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

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