SBIR/STTR Research Award

Securing Data in Motion from Shop Floor Machines into Digital Engineering Platforms

Award identifier 875c1e6ee4dcc8571d82b892fe877f7f0aa6036ce4a4a09d5798ee1eef87abbfAwarding agency Department of Defense · Air Force

Award amount

$1,225,000

Program and phase

SBIR · Phase II – Direct to Phase II

Award year

2022

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
Air Force
Recipient company
CORSHA, INC
Proposal award date
2022-02-17
Contract end date
2022-12-31
UEI
MM9YAUMKKJ95
Solicitation number
X21.1
Topic code
AF211-DCSO2

Research abstract

Today, the Air Force Sustainment Center (AFSC) utilizes a plethora of machines on the shop floor for inspection, maintenance and monitoring.  These machines, such as Non-Destructive Inspection (NDI) equipment, offer valuable data and insights crucial for a complete digital engineering thread, including eddy current, ultra-sonic, radiography, and penetrant measurements and more.  AFSC cannot securely connect these untrusted machines to AF networks in order to transfer the data that they compile and collect into Digital Engineering (DE) platforms.  The shop floor machines are often produced via questionable supply chains and certainly have not been designed with cybersecurity in mind.  The workaround that depot-level operators use today is often photography, screenshots, note-taking, and other manual, ad-hoc means to retrieve and move the data.  These manual mechanisms do not provide consistent, repeatable, reliable, trustworthy data flows necessary for a complete digital thread. These inefficient, incomplete workflows for leveraging data from shop floor machines adds to delayed delivery of warfighting capabilities for depots, presents operating burdens, and ultimately drives up costs. Corsha has a dual-use API Security Platform that can securely and efficiently help connect these untrusted shop floor inspection machines into the DE systems across disjoin networks.  To date, Corsha has tailored its technology towards service-to-service connections but through this SBIR Direct-to-Phase-II work, will adapt its Authentication technology into hardware and software-based Connectors for these shop floor machines.  This SBIR work if funded will enable the tying of currently disjoint digital threads for AFSC and empower enable Airmen and operators to efficiently collect, trust and act on shop floor machine data used to service and sustain the AF fleet.

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

10 SBIR/STTR records share this UEI (2020–2026). Reported award amounts total $7,902,086. Reported amounts are not federal obligations.

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

Agencies: Department of Defense, National Science Foundation

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.