Partnerships for Transformational Artificial Intelligence Models
Closed Pre-Solicitation Posted
- Solicitation number
- DE-ASCR-26-0001
- Agency
- Department of Energy
- Responses due
- Set-aside
- No set-aside
Opportunity facts
- NAICS code
- Not on record
- Place of performance
- Oak Ridge, Tennessee 37831, United States
- Points of contact
Notice details come from SAM.gov. Updated .
About this opportunity
The Department of Energy (DOE) is seeking input through a Request for Information (RFI) to establish a public-private consortium focused on developing transformational artificial intelligence models leveraging DOE scientific data and National Laboratory resources. This market research initiative, issued under Section 50404 of Public Law 119-21, aims to curate scientific data across the National Laboratory complex and develop self-improving AI models for science and engineering applications to be shared with the scientific community through government, academic, and private-sector infrastructure. The RFI seeks input from businesses of all sizes, research institutions, think tanks, investors, and other entities interested in developing leading-edge AI models or partnering with DOE and National Laboratories. Key objectives include mobilizing the National Laboratories, structuring effective public-private partnerships, preserving privacy in sensitive data, and identifying priority research areas across scientific disciplines. Responses are limited to five pages and must be submitted electronically to AICommunityInput@science.doe.gov by January 14, 2026, with the RFI posted on November 13, 2025.
This opportunity carries no set-aside designations and involves no incumbent contractors, as this is a foundational market research phase rather than a formal solicitation. No award value or budget range is specified in the pre-solicitation notice, as this RFI is designed to gather information to inform future funding mechanisms and program design rather than to execute immediate procurement. Responses must address the eight key areas of inquiry outlined in the RFI, including data curation strategies, model development approaches, consortium structure preferences, and use case identification across scientific domains. The opportunity is subject to Research, Technology and Economic Security (RTES) Requirements outlined in Appendix I, which impose strict guidelines to prevent undue foreign influence, including mandatory disclosures of foreign connections, investments, and business arrangements. Organizations may optionally provide feedback on DOE's standard patent and data rights policies or proposed terms and conditions as part of their response.
Notice text
THIS IS A REQUEST FOR INFORMATION (RFI) ONLY for the purpose of conducting market research and does not constitute a solicitation or a promise to issue a solicitation. Responses are voluntary and will be used to inform strategic planning, program design, and future funding mechanisms.
SUMMARY: In accordance with Section 50404 of Public Law 119-21, the Department of Energy (DOE) intends to establish a public-private consortium to curate DOE scientific data across the National Laboratory complex for use in artificial intelligence (AI) models and to develop self-improving AI models for science and engineering using this data. These models must be provided to the scientific community through a system of United States government, academic, and private-sector programs and infrastructure which includes the use of cloud technologies. This historic mobilization of DOE, the National Laboratories[1], and private partners will serve as a force multiplier in executing America’s AI Action Plan[2] to achieve global dominance in AI, and to advance scientific discovery, energy, and national security.
DOE seeks input from:
- Institutions, including businesses of all sizes, developing leading-edge AI models and interested in leveraging DOE data, facilities, and/or expertise.
- Institutions, including businesses of all sizes, interested in partnering with DOE and the National Laboratories, potentially in combination with AI developers, to develop AI models with enhanced capabilities.
- Think tanks, investors, and research organizations.
- And other interested entities.
Submission Instructions: Responses should not exceed 5 pages, including attachments or cover letters, except as noted below. Please include:
- Organization name and point of contact.
- Optionally, responses may include an appendix providing feedback or changes to specific terms and conditions or DOE policy, including to DOE’s standard patent and data rights as noted above or to the RTES requirements in Appendix I. Providing alternate wording, along with a rationale for that wording, addressing the purpose of each provision that would not impede quickly and effectively establishing AI partnerships is encouraged. This appendix is not included in the page-count limit noted above.
- Responses should be submitted electronically to AICommunityInput@science.doe.gov and include “Transformational Artificial Intelligence Models” in the subject line of the email.
FOR FURTHER INFORMATION CONTACT: Questions may be addressed to the DOE Office of Science AI Team through AICommunityInput@science.doe.gov.
Attachments
| File | Type | Posted |
|---|---|---|
| RFI for Transformational AI Models.pdf |
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