Request For Information for Advanced Battle Management System (ABMS) Cloud Based Command and Control (CBC2) Artificial Intelligence and Machine Learning Toolkit

REQUEST FOR INFORMATION (RFI)

Advanced Battle Management System (ABMS)

Artificial Intelligence & Machine Learning Toolkit (AI/ML Toolkit)

Cloud Based Command and Control (CBC2)

This RFI is issued in accordance with Federal Acquisition Regulation (FAR) clause 52.215-3 and is published to obtain information for use by the Department of the Air Force, C3BM PEO, in support of ABMS CBC2 initiatives. THIS RFI IS NOT A REQUEST FOR PROPOSAL, INVITATION FOR BID, OR AN ANNOUNCMENT OF A SOLICITATION; IT IS ONLY INTENDED FOR INFORMATION OR PLANNING PURPOSES. There is no bid package or solicitation document associated with this announcement. This RFI is being issued to determine if there are adequate responsible prospective Contractors, capable of providing an AI/ML Toolkit for CBC2. Responses to this RFI will also be used to help determine the best applicable solicitation method, should the Government choose to proceed with a Request for a Proposal (RFP).

BACKGROUND

The DAF seeks to develop a cross-cutting portfolio of architecture and systems engineering, digital infrastructure, aerial networking, and command and control (C2) software programs for the Advanced Battle Management System (ABMS). The goal of ABMS is to provide foundational capabilities for the DAF BATTLE NETWORK, which is the DAF's systems of systems fusing sensors, effectors, and sustainment grids for decision advantage. The DAF BATTLE NETWORK is the DAF's primary contribution to the Combined Joint All Domain Command and Control (CJADC2) joint warfighting concept.

Within the portfolio's software and applications thrust area, ABMS seeks to apply advanced automation, artificial intelligence and machine learning technologies across the integrated portfolio of BMC2 capabilities. The SOO, attached to this posting, aims to outline the capability needs, technology requirements and expertise needed to improve reaction time across the Sense, Make Sense, Act C2 paradigm. This effort is identified as a toolkit to emphasize that there is no once-size-fits-all AI/ML solution. Many types of AI applications exist for various problem and opportunity spaces this SOO intends to identify several opportunity spaces but is not limiting the performer (or effort) to those specific technology applications. This effort shall be a collection of tools and technologies that improve tactical C2 software applications under development within multiple programs (e.g., Cloud-Based Command and Control) and reduce operational workflow timelines for C2. The DAF is seeking information to gain an in-depth knowledge of state-of-the-art commercialized artificial intelligence and automation technologies in a variety of mission applications to include data collection and curation, machine to machine operations, large language models, and continuous and/or reinforced learning training models.

SUBMISSION INSTRUCTIONS and FORMATTING REQUIREMENTS

Interested vendors are requested to submit an RFI response in accordance with the instructions outlined in the attachment tilted, AIML RFI_Cover Letter_29 Mar24 . Supporting attachments referenced in the cover letter are also included in this posting at Attachment 1 and Attachment 2.