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Machine Learning Model Development for Flight Delay Prediction

Active

SBIR / STTR

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 National Aeronautics and Space Administration, through the NASA SBIR/STTR Program, is seeking a subcontractor to develop and train a machine learning model designed to predict flight delays. The project focuses on utilizing a combination of real-time and historical weather data alongside Traffic Management Initiative data to improve prediction accuracy. This opportunity is designated as a Total Small Business Set-Aside under NAICS code 519130, specifically targeting firms with fewer than 500 employees. The work is slated to be performed at Moffett Field, California, with the solicitation posted on August 20, 2026.

General Info

NASA seeks small business subcontractors to develop ML models for predicting flight delays.

Agency

National Aeronautics and Space Administration → NASA SBIR/STTR Program

NAICS

519130 - Internet Publishing and Broadcasting and Web Search Portals

Place of Performance

Moffett Field, CA, 94035, USA

Set-Aside

SBA

Documents

This scope was carved out of NASA-SBIR-154408.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

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AI Contract Breakdown

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Timeline

PostedAug 20

subcontract

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Organization & Contact Information

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AgencyNational Aeronautics and Space Administration → NASA SBIR/STTR Program

ContactsNo contacts available

OfficeN/A

Organization / AgencyNational Aeronautics and Space Administration → NASA SBIR/STTR Program

Office AddressN/A

ContactsNo contact information available

Full Description

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Develop and train a machine learning model to predict flight delays using real-time and historical weather and Traffic Management Initiative (TMI) data.

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