Intelligent Generator Of Research (Igor)
Solicitation · United States of America
Source: SAM.gov
Amendment 01 adds Appendix E_Draft Model OT Agreement and provides revisions to Appendix B_Solution Summary Format and Instructions, as highlighted. --------------------------------------------------------------------------------------- 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. T
- Status
- Prospective
- Sector
- Mass Transit, Commercial, Residential
- Location
- United States of America
- Updated
- 3 Nov 2026
- Source
- SAM.gov
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Tender Information
Participants
| Not available for this record. |
Status
Original status | solicitation |
Taiyo status | Prospective |
Taiyo last update | 2026-11-03 |
Contact
| Not available for this record. |
Description
Description | Amendment 01 adds Appendix E_Draft Model OT Agreement and provides revisions to Appendix B_Solution Summary Format and Instructions, as highlighted. --------------------------------------------------------------------------------------- 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. |
Original sector | Professional, Scientific, and Technical Services |
Location
Country | United States of America (USA) |
Source
Source | SAM.gov |
URL |
More Details
Record type | Tender |
Sector | Mass Transit, Commercial, Residential |
Article published date | 2026-05-27 |
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