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Multi-Modal AI and Data Fusion Software Development

Active

Federal

Response Deadline11/10/2026, 09:00:00 PM UTC

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

AI Contract Overview

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The Multi-Modal AI and Data Fusion Software Development subcontract, issued by the Advanced Research Projects Agency for Health under the Department of Health and Human Services, focuses on the creation of AI and ML algorithms for signal processing and data fusion. The primary objective is to develop real-time decision support systems capable of interpreting multi-sensor data to ensure the quality and safety of pharmaceutical drugs. This opportunity falls under NAICS code 541721 and is scheduled for performance in the 20005 zip code area. The solicitation was posted on August 20, 2026, with a final response deadline of November 10, 2026.

General Info

ARPA-H subcontract for AI software developing real-time pharmaceutical quality and safety decision systems.

Agency

Department Of Health And Human Services → Advanced Research Projects Agency For Health (arpa-H)View Agency

NAICS

541721

Place of Performance

DC, 20005, USA

Set-Aside

NONE

Documents

This scope was carved out of ARPA-H-SOL-26-160 .

The full solicitation package (11 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Fast Assessment of Solutions, Therapeutics, Pharmaceuticals, and SupplieS (FASTPASS) Innovative Solutions Opening

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Timeline

PostedAug 20

subcontract

Response DeadlineNov 10

Submission deadline

Response Deadline

11/10/2026, 09:00:00 PM UTCin 2 months

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Organization & Contact Information

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AgencyDepartment Of Health And Human Services → Advanced Research Projects Agency For Health (arpa-H)

ContactsNo contacts available

OfficeN/A

Organization / Agency

Department Of Health And Human Services → Advanced Research Projects Agency For Health (arpa-H)

View Agency Profile

Office AddressN/A

ContactsNo contact information available

Full Description

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Develop AI/ML algorithms for signal processing, data fusion, and real-time decision support to interpret multi-sensor data for drug quality and safety assessment.

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