SBIR/STTR Research Award

Snorkel AI: Enterprise AI Made Practical

Award identifier c29417e013485cf4e455ab922805142dad5a9ddd4286e198343a0c9aaceea0a5Awarding agency Department of Defense · Air Force

Award amount

$74,863

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
SNORKEL AI INC
Proposal award date
2022-11-04
Contract end date
2023-02-04
UEI
WLATK51LSZ65
Solicitation number
X22.4
Topic code
X224-OCSO1

Research abstract

Snorkel Flow is based on a novel approach to programmatically building and managing ML training data sets. Instead of painstakingly labeling hundreds of thousands (or even millions) of individual data points by hand, Snorkel Flow users create labeled training data sets programmatically by capturing domain knowledge in the form of rules, heuristics, ontologies, legacy systems, and other sources of subject matter expertise. Snorkel’s technology is already in use by leading AI/ML organizations like Google, Apple, Intel Corporation, and others.

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

11 SBIR/STTR records share this UEI (2021–2025). Reported award amounts total $6,793,320. Reported amounts are not federal obligations.

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

Agencies: Department of Defense

Agency intelligence

Department of Defense

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