SBIR/STTR Research Award

(1) SHIPMATE: Secure Hyper Intelligent Predictive Maintenance Analytics with Tactical Enhancements

Award identifier 692e6347399021af5974d8ccf493892838319894babc51da1a08b19d854494c8Awarding agency Department of Defense · Navy

Award amount

$149,998

Program and phase

SBIR · Phase I

Award year

2020

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
COLVIN RUN NETWORKS, INC
Proposal award date
2020-07-13
Contract end date
2020-12-14
UEI
Z475KM9G68V8
Solicitation number
20.4
Topic code
N204-A02

Research abstract

The Navy’s ability to collect, store, and curate raw maintenance and inventory data continues to exceed its ability to effectively process it.  Given the Navy's stakeholder-identified challenge to improve condition-based maintenance (CBM) with machinery monitoring and prognostics to maximize endurance and operational availability, and therefore readiness of Navy systems, Colvin Run Networks Inc. (Colvin Run) proposes a study of Navy-oriented machine-learning-enabled Predictive Maintenance And Inventory Management (PMIM) enhancement solution for CBM, SHIPMATE: Secure Hyper Intelligent Predictive Maintenance Analytics with Tactical Enhancements.

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

29 SBIR/STTR records share this UEI (2019–2025). Reported award amounts total $17,976,875. 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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