This Solicitation opportunity from Department Of Health And Human Services was posted on July 28, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.
Intelligent Generator of Research (IGoR) - ISO
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The Intelligent Generator of Research (IGoR) program, solicited under ARPA-H-SOL-26-155, is an Innovative Solutions Opening (ISO) structured as an Other Transaction (OT) Agreement under 42 U.S.C. § 290c(g)(1)(D), aimed at transforming biomedical research through an AI-enabled, interoperable ecosystem designed to accelerate therapeutic discovery by at least tenfold. The program seeks to develop four integrated components: mechanistic disease models encoding causal biological relationships across scales, an AI orchestration layer to identify knowledge gaps and design optimal experiments, a layered protocol architecture ensuring reproducible execution by any qualified lab, and a distributed marketplace of validated laboratories to generate gold-standard data. The initiative is a five-year, three-phase effort with technical work confined to cell/tissue culture and lower-level invertebrate models; vertebrate studies are permitted only for hypothesis validation under direct human oversight, and human clinical trials are explicitly out of scope. Proposals must comprehensively address all four Technical Areas and all three phases, with Phase III requiring scaling to a second disease area, operation of a unified experiment marketplace, and public release of all computational artifacts. Proposals must be submitted via the ARPA-H Solutions portal by August 6, 2026, and must conform to strict formatting guidelines, including English language, 11-point sans serif font, and 8.5 by 11-inch pages with one-inch margins. All proposers must maintain an active SAM.gov registration with a valid UEI and designated Electronic Business Point of Contact, and must certify their organization type (for-profit, non-profit, or academia) and disclose involvement of human or animal subjects. Technical and management proposals, along with a price proposal structured in three phases and supported by a detailed Basis of Estimate, must be submitted as specified in Appendix C, which has been amended to remove phase durations from the labor tab and refine the submission format. Price proposals must include fully burdened labor rates, itemized equipment costs (with backup for items over $10,000), justified travel, other direct costs, indirect costs, and profit/fee, and must account for all resource sharing contributions from both the performer and government, with total prices reflecting these combined values. Evaluation prioritizes scientific and technical merit, proposer capability, alignment with ARPA-H’s mission, and cost reasonableness, with awards going to the most advantageous submissions. Following award, performers must register with the Payment Management System within ten
General Info
Agency
NAICS
Place of Performance
DC, USASet-Aside
Timeline
Submission Closed
Organization & Contact Information
Full Description
Amendment 03 provides revisions to Appendix C_Proposal Format and Intructions, as highlighted in yellow. This amendment also provides revisions to Appendix C.4_Price Proposal Spreadsheet (removes phase durations on labor tab).
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Amendment 02 extends the proposal due date and provides revisions to Appendix A_Program and Technical Description and Appendix E_Draft Model OT Agreement, as highlighted in yellow.
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Amendment 01 adds Appendix E_Draft Model OT Agreement and provides revisions to Appendix B_Solution Summary Format and Instructions, as highlighted.
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ARPA-H intends to host a hybrid Proposers Day in early June in the Washington, D.C. metro area. Additional information will be posted when it becomes availiable.
The Intelligent Generator of Research (IGoR) program aims to eliminate longstanding inefficiencies in research and accelerate the development of effective therapies for complex diseases by creating an AI-enabled interoperable research ecosystem. IGoR would develop: 1) mechanistic disease models that encode causal biological relationships across scales, 2) an AI orchestration layer that identifies knowledge gaps and designs optimal experiments, 3) a layered protocol architecture that enables any qualified laboratory to execute the same experiment reproducibly, and 4) a distributed marketplace of validated laboratories that execute standardized protocols and return gold-standard data. Together, these components form a cycle of hypothesis generation, experimentation, and model refinement that enables researchers to create validated knowledge at least 10x more rapidly than conventional approaches. Ultimately, IGoR will empower researchers at every level to pursue bold, unconventional research directions that are currently too slow, too complex, or too resource‑intensive.
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