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This Government Contract opportunity from Texas was posted on May 18, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Data Management and AI Software Integration Support

Closed
State & Local

Contract Overview

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The contract involves integrating HCS.ai's AI analytics technology with existing institutional data systems such as Laboratory Information Management Systems (LIMS) and cloud storage platforms. The primary goal is to enable automated image analysis, streamline data processing, and ensure secure archiving of valuable health science data. This integration aims to enhance efficiency and accuracy in handling scientific data for the Texas A&M University System Health Science Center. Issued as a subcontract with NAICS code 541512, the project was posted on May 18, 2026, with responses due by May 28, 2026. The contract emphasizes support for data management and software integration within a research or health science environment but does not specify geographic or organizational details for performance location. The focus is on leveraging AI capabilities to improve data workflows and security for institutional research data repositories.

General Info

Integrate HCS.ai AI technology with LIMS for automated image analysis and secure health data archiving.

Agency

Texas A&M University System Health Science Center

NAICS

541512 - Computer Systems Design Services View NAICS

Place of Performance

TX, US

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

PhaseClosed
Posted

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Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyTexas A&M University System Health Science Center
ContactsNo contacts available
OfficeN/A
Organization / Agency
Texas A&M University System Health Science Center
Office AddressN/A
ContactsNo contact information available

Full Description

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Integrate HCS.ai AI analytics with institutional data systems (e.g., LIMS, cloud storage) for automated image analysis, data processing, and secure archiving.