52000QR260026939- USCG IOD- Training: Artificial Intelligence for Federal Decision Making

Inactive Total Small Business Set-Aside (FAR 19.5)
Notice ID:52000QR260026939

Solicitation Amendment #2: The previous Statement of Work (SOW) is hereby removed and replaced in its entirety with the updated SOW, which removes an objective that was determined to be inapplicable t...

Department/Ind.Agency Subtier Office
HOMELAND SECURITY, DEPARTMENT OF U.S. COAST GUARD SFLC PROCUREMENT BRANCH 1(00080)
  PSC   SCIENTIFIC AND MANAGEMENT EDUCATION
LOCATION:

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Data sourced from SAM.gov. View Official Posting »

52000QR260026939- USCG IOD- Training: Artificial Intelligence for Federal Decision Making

Total Small Business Set-Aside (FAR 19.5)
Notice ID:52000QR260026939

The USCG Surface Force Logistics Center seeks quotes from small businesses for a firm-fixed-price contract to provide online training to three Coast Guard personnel on leveraging artificial intelligence for data-driven decision-making in the federal government. Performance is required from 17 August to 18 August 2026. Offerors must be registered in SAM.gov, submit a detailed cost breakdown, and confirm availability for the period of performance. The government will award on a best-value basis considering specifications, price, past performance, and quality, with the right to make an all-or-none award. This is a total small business set-aside under NAICS 611430.

Department/Ind.Agency Subtier Office
HOMELAND SECURITY, DEPARTMENT OF U.S. COAST GUARD SFLC PROCUREMENT BRANCH 1(00080)
  PSC   U004 EDUCATION/TRAINING- SCIENTIFIC/MANAGEMENT
LOCATION: Not Given
Primary Contact
Nichole Cundiff
Not Given
Alt Contact
Karla P. Balint
Not Given


Data sourced from SAM.gov. View Official Posting »

52000QR260026939- USCG IOD- Training: Artificial Intelligence for Federal Decision Making

Total Small Business Set-Aside (FAR 19.5)
Notice ID:52000QR260026939

This is a total small business set-aside solicitation for a firm-fixed-price contract to provide online training to three U.S. Coast Guard personnel on using artificial intelligence for data-driven decision-making. The training must be delivered during the performance period of 17–18 August 2026, and offerors must confirm availability for that period. The solicitation has been amended twice to revise the Statement of Work, and the government will evaluate original proposals if no revised response is submitted. Interested vendors must be registered in SAM.gov and submit a detailed cost breakdown with their quotation. Award will be based on best value to the government, considering specifications, price, past performance, and quality.

Department/Ind.Agency Subtier Office
HOMELAND SECURITY, DEPARTMENT OF U.S. COAST GUARD SFLC PROCUREMENT BRANCH 1(00080)
  PSC   U004 EDUCATION/TRAINING- SCIENTIFIC/MANAGEMENT
LOCATION: Not Given
Primary Contact
Nichole Cundiff
Not Given
Alt Contact
Karla P. Balint
Not Given


Data sourced from SAM.gov. View Official Posting »

52000QR260026939- USCG IOD- Training: Artificial Intelligence for Federal Decision Making

Total Small Business Set-Aside (FAR 19.5)
Notice ID:52000QR260026939

The U.S. Coast Guard is seeking quotes from small businesses to provide online training for three personnel on leveraging artificial intelligence for data-driven decision-making in the federal government. The training must be delivered online, with performance required from August 17–18, 2026. This is a total small business set-aside, and the award will be a firm-fixed-price purchase order using simplified acquisition procedures. Interested vendors must be registered in SAM.gov and submit a detailed cost breakdown, product data sheet, and warranty information. Award will be based on best value, considering specification, price, past performance, and quality.

Department/Ind.Agency Subtier Office
HOMELAND SECURITY, DEPARTMENT OF U.S. COAST GUARD SFLC PROCUREMENT BRANCH 1(00080)
  PSC   U004 EDUCATION/TRAINING- SCIENTIFIC/MANAGEMENT
LOCATION: Not Given
Primary Contact
Nichole Cundiff
Not Given
Alt Contact
Karla P. Balint
Not Given


Data sourced from SAM.gov. View Official Posting »