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FSIS Homegrown Artificial Intelligence(AI) and Large Language Models (LLM) Capability

Active

Federal

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 Food Safety and Inspection Service within the Department of Agriculture is seeking a state-of-the-art AI-powered decision-support platform to modernize its food safety operations. This initiative aims to overcome existing system limitations by integrating inspection data, large language models, and environmental intelligence to enhance the agency's ability to prioritize inspections and allocate resources more effectively. Listed as a forecast under NAICS code 541512, the project focuses on developing homegrown artificial intelligence and LLM capabilities. Madonna Montgomery serves as the primary point of contact and small business specialist for this requirement, which is designed to transform how the agency oversees critical food safety functions through advanced technological integration.

General Info

USDA seeks AI-powered decision-support platform to modernize food safety inspections and resource allocation.

Agency

Department of Agriculture → Food Safety And Inspection Service

NAICS

541512 - Computer Systems Design Services

Place of Performance

Not specified

Set-Aside

NONE

Documents

0

No documents available

Documents will appear here when they are available.

AI Contract Breakdown

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Timeline

PostedMay 1

forecast

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Organization & Contact Information

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AgencyDepartment of Agriculture → Food Safety And Inspection Service

Contacts2 people available

OfficeN/A

Organization / AgencyDepartment of Agriculture → Food Safety And Inspection Service

Office AddressN/A

Contacts

MADONNA MONTGOMERY

contact@example.gov

MADONNA MONTGOMERY

contact@example.gov

Full Description

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To address current system challenges and limitations FSIS requires a state-of-the-art AI-powered decision-support platform that transforms FSISs ability to prioritize inspections allocate resources and oversee food safety operations using inspection data large language models (LLMs) and environmental intelligence

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