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AI Platform Integration with Experimental Data

Active

Federal

Response Deadline07/17/2026, 05:00:00 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 contract involves the development of advanced data pipelines and feedback mechanisms to seamlessly integrate experimental results into artificial intelligence models. This integration aims to enable iterative optimization of compounds, enhancing the efficiency and accuracy of AI-driven experimental analyses. The work is categorized under NAICS code 541512, indicating specialized computer systems design services, and is structured as a subcontract. Issued by the Department of Health and Human Services through the BARDA and associated offices, the contract was posted on May 21, 2026, with a response deadline set for July 17, 2026. Although the specific location for performance and agency contacts are not detailed, the focus remains on creating a robust AI platform that continuously updates and refines its predictive capabilities based on ongoing experimental data, supporting accelerated research and development in the pharmaceutical or biomedical fields.

General Info

Development of AI data pipelines for iterative compound optimization under HHS BARDA subcontract.

Agency

Department Of Health And Human Services → Barda - Aspr / Daappo / Barda Dcma

NAICS

541512 - Computer Systems Design Services View NAICS

Place of Performance

DC

Set-Aside

NONE

Documents

(0)

No documents available

AI Contract Breakdown

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Timeline

PostedMay 21

subcontract

Response DeadlineJul 17

Submission deadline

Response Deadline

07/17/2026, 05:00:00 PM UTCin about 1 month

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Organization & Contact Information

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AgencyDepartment Of Health And Human Services → Barda - Aspr / Daappo / Barda Dcma

ContactsNo contacts available

OfficeN/A

Organization / Agency

Department Of Health And Human Services → Barda - Aspr / Daappo / Barda Dcma

Office AddressN/A

ContactsNo contact information available

Full Description

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Development of data pipelines and feedback loops to integrate experimental results into AI models for iterative compound optimization.

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