Skip to main content
All United States tenders

Announcement for Proposals (AFP) for Partnership Agreements for Embedded Creators

NASA HEADQUARTERS

On or after the release date of this special notice, a full copy of the announcement for proposal (AFP) may be downloaded from the NASA Solicitation and Proposal Integrated Review and Evaluation System (NSPIRES) at NSPIRES - Solicitations Summary by searching on number NNH26ZNA001R or by using the direct link provided. It is the responsibility interested parties to monitor NSPIRES for amendments, if any. Interested parties also are responsible for downloading their own copy of the document(s) from NSPIRES. NASA is seeking partners on a nonreimbursable (no exchange of funds) basis to share the stories behind, and the insights into, a multitude of NASA programs. NASA will support partners in this effort to share the stories of NASA’s missions with the widest audience possible and inspire the next generation of explorers. This AFP outlines the process for a respondent (“Respondent”) to submit a proposal (“Proposal”) to partner with NASA to tell a story about one or more of the exciting and inspiring missions NASA is pursuing. NASA welcomes responses from filmmakers, documentarians, songwriters, storytellers, poets, musicians or other creators – either private individuals, entities or teams. NASA is looking to entertain proposals from U.S. creators, though proposals which include a minority of international participants on a team led by a U.S.-entity who will enter into the Space Act Agreement with NASA will be considered.

AI proposal generator

Generate a structured solution proposal in 90 seconds

Claude drafts an 8-section bid response — exec summary, technical approach, compliance matrix, indicative pricing, timeline, why-we-win — tailored to your company profile and this exact tender.

✓ Word + PDF + Markdown·✓ Editable·✓ Free regen if quality is poor
Generate proposalfrom €49 · or via subscription
View on source portal Save in the Asistan iOS app

Related opportunities

Found via vector similarity