SBIR/STTR Research Award

Concurrent Engineering Layered Logistics Structure (CELLS)

Award identifier 7b0ce7bd99ef62d05a64b5fcfbf2b094cd014286564c3e2578277a9aa96f09b5Awarding agency Department of Defense · Navy

Award amount

$1,924,950

Program and phase

SBIR · Phase II

Award year

2021

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
AVNIK DEFENSE SOLUTIONS INC
Proposal award date
2021-07-01
Contract end date
2026-04-24
UEI
MJJUNNW1FKT4
Solicitation number
19.2
Topic code
N192-065

Research abstract

The Naval Air Technical Data and Engineering Service Center (NATEC) maintains extensive, separate data sets for logistics and engineering in multiple formats which would be more valuable if the data could be integrated and shared to a greater degree. AVNIK Defense Solutions, Inc. proposes, with our subcontract team members Engenix, EPS, and Instrumental Sciences, Inc. (ISI), a Concurrent Engineering Logistics Layered Structure called “CELLS” concept. CELLS is based on multiple artificial intelligence (AI) technologies of data mining, qualitative reasoning, and machine learning, to support the Navy’s goal of digital transformation. CELLS will employ a resilient network of autonomous cooperative intelligent agents, to rapidly extract engineering and field data from disparate sources, including JEDMICS, IETMS, and TMAPS, and provide the data as refined information to multiple users, with enhanced eXtended Reality 3D views based on user roles. We successfully integrate our SMEs with analytics and model development to demonstrate the feasibility and potential for a resilient intelligent network to rapidly extract, compile, analyze, and present 3D information derived from disparate Navy databases relevant to users across the Naval Aviation Enterprise. Primary objectives of the Phase II research are to 1) Develop a limited web-enabled CELLS prototype toolset to identify and retrieve technical data from Interactive Electronic Technical Manual (IETMs), technical drawings (JEDMICS), and operating instruction (NATOPS), using an AI-based network architecture, interfaces with NAVAIR Standard IETM Viewer (NSIV), and simulated interfaces with Navy sources (e.g., DECKPLATE, VECTOR); 2) Develop the means to display and retrieve the information above based on role and location, using 3D digital models of selected systems and eXtended Reality (XR) to create a maintenance work package and facilitate use of technical data for both operational maintenance and maintenance training in a variety of settings, using standard Navy IT system components such as desktops, laptops and approved XR devices; and 3) Test and demonstrate the CELLS prototype toolset in an AVNIK systems integration laboratory (SIL). The tests will demonstrate scalability to a full system and verify CELLS ability to: create an interactive work package; capture maintenance and part history; use disparate data sources for predictive maintenance; and provide part and maintenance task traceability for later predictive analysis.

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

8 SBIR/STTR records share this UEI (2017–2023). Reported award amounts total $4,718,579. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.