DM: Prediction Model Software

Closed Special Notice Posted

Agency
Responses due
Set-aside
No set-aside

Opportunity facts

Place of performance
Rockville, Maryland, United States

Notice details come from SAM.gov. Updated .

About this opportunity

The Department of Health and Human Services (HHS) Food and Drug Administration (FDA) has issued a Special Notice for the procurement of advanced process analytical technology (PAT) software. The FDA's Division of Product Quality and Research (DPQR) requires this software to mine large, complex data sets in order to drive greater consistency in quality and efficient output for pharmaceutical manufacturing.

The purpose of this Special Notice is to identify qualified vendors that can provide PAT software with the capability to quickly analyze data, identify critical quality parameters, and enable real-time testing and optimization of product quality. Key requirements include the ability to handle multiple data formats, provide chemometric capabilities, and integrate with the FDA's high-performance computing (HPC) environment. The contract will be a firm fixed-price with a 12-month warranty, and the software will be delivered to the FDA's White Oak campus. Responses to this Special Notice are due by September 20, 2024, and there are no set-aside requirements for this opportunity.

Notice text

The Division of Product Quality and Research (DPQR) needs advanced process analytical technology
(PAT) software to mine big data stores to drive greater consistency in quality and efficient output. The
software should analyze large and complex data sets quickly, easily and accurately and should be able to
improve and optimize product quality at molecular level. The software will be installed in the HPC
environment. This software should quickly identify the parameters most critical to quality, cycle time
and other key KPIs with unique capabilities for spectroscopy and chemometrics import material, sensor,
process and spectral data in all the formats with features to easily plot, preprocess and model spectral
data.

Files

File Type Posted
SOL_Aspen_Unscrambler.docx DOCX document

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