SBIR/STTR Research Award

SHARK BAIT - Shared Historical Anti-Submarine-Warfare Reachback Knowledge Built on Artificial Intelligence Technology

Award identifier f1a916654c63c8d5882e9e4bb172876e331d0d5034ae70598a2978a873ce4bd9Awarding agency Department of Defense · Navy

Award amount

$140,000

Program and phase

SBIR · Phase I

Award year

2021

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
COLVIN RUN NETWORKS, INC
Proposal award date
2021-07-14
Contract end date
2022-01-11
UEI
Z475KM9G68V8
Solicitation number
21.1
Topic code
N211-039

Research abstract

The U.S. Navy’s Anti-Submarine Warfare (ASW) In-service and Logistics Support (ILS) system is a shore-based tech support capability which provides assistance with hardware and software issues encountered by the fleet.  While initially a common system, modifications to ships even withing the same class has led to divergence from the baseline configuration aboard many ships, this has been compounded by differences in operating temps and environmental considerations. These divergences lead to a number of difficulties, not the least of which is that support personnel often require accurate recreation of the deployed system to replicate diagnose problems. Support and supplies tend to be reactionary to problems as they emerge, whereas the Navy would benefit from anticipatory understanding to prevent problems before they arise—a key reason for the broad push into condition based maintenance and diagnostics and Digital Twin technologies.  This would allow proactive alerts about issues as they become known and better remote troubleshooting based upon reported data flows and associated irregularities, it would also allow the prepositioning of supplies to better meet fleet demand.   Sailors seek reach-back support from ILS personnel who work 24/7 to provide timely guidance to resolve Fleet casualty reports (CASREPS) and get systems operational in challenging environments as quickly as possible. Communication between the Fleet and the ILS team must be robust, ensuring that the ILS specialist is 1) troubleshooting based on the proper baseline, configuration and all pertinent data; and 2) ensuring that any replacement parts are appropriate to the baseline and configuration in question; and 3) the parts are readily available to minimize transportation and ensure timeliness. Given the Navy stakeholder-identified challenge providing timely and appropriate ILS for the AN/SQQ-89 system and variants, Colvin Run Networks Inc. proposes development of a revolutionary method to deliver analytics embedded in workflows–a key capability for rapid deployment and stakeholder adoption. The Colvin Run effort, in partnership with our human factors and ASW subject matter experts, is a specific configuration of the Colvin Run Afforma AI platform, a commercial Machine Learning enabling solution, SHARK BAIT - Shared Historical Anti-Submarine-Warfare Reach-back Knowledge Built on Artificial Intelligence Technology.

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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