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This Government Contract opportunity from Department Of Homeland Security was posted on May 8, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Cloud-Based Adaptive Spectral Library Development

Closed
Federal

Contract Overview

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The contract pertains to the development of a cloud-hosted, machine learning-enabled spectral library that is designed to update on a monthly basis. This library will integrate with Surface-Enhanced Raman Scattering (SERS) platforms to facilitate real-time biodetection capabilities. The focus is on creating an adaptive system that ensures continuous improvement and accuracy in spectral data analysis for biosensing applications. Issued by the Department of Homeland Security's Cwmd Acquisition Division, this subcontract falls under the NAICS code 518210, related to data processing and hosting services. The work is to be performed in Springfield with a response deadline set for May 29, 2026. This initiative aims to support advanced security and detection technologies by leveraging cloud computing and machine learning to enhance the responsiveness and reliability of biodetection systems.

General Info

Develop cloud-based, machine learning spectral library for SERS biodetection; monthly updates; Springfield; deadline May 29, 2026.

Agency

Department Of Homeland Security → Cwmd Acq Division

NAICS

518210 - Computing Infrastructure Providers, Data Processing, Web Hosting, and Related ServicesView NAICS

Place of Performance

Springfield, VA, 22150, USA

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of Homeland Security → Cwmd Acq Division
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Homeland Security → Cwmd Acq Division
Office AddressN/A
ContactsNo contact information available

Full Description

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Develop a cloud-hosted, machine learning-enabled spectral library that updates monthly and integrates with SERS platforms for real-time biodetection.