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SysML Spacecraft Model Integration and Knowledge Extraction

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 SysML Spacecraft Model Integration and Knowledge Extraction subcontract is issued by the NASA SBIR/STTR Program to facilitate the extraction and structuring of expert knowledge from SysML spacecraft models. This data will be utilized to train and inform the reasoning and procedure generation modules of the VERA system. The project is categorized under NAICS code 541420 and is designated as a Total Small Business Set-Aside, specifically adhering to SBIR/STTR mandates for companies with fewer than 500 employees. Performance for this contract will take place in Houston, Texas. The initiative focuses on bridging the gap between complex systems modeling and automated reasoning to enhance spacecraft operational procedures. Interested parties can find further details through the NASA TechPort portal under the specified solicitation.

General Info

NASA subcontract for extracting SysML spacecraft model knowledge to train VERA system reasoning.

Agency

National Aeronautics and Space Administration → NASA SBIR/STTR Program

NAICS

541420 - Industrial Design Services

Place of Performance

Houston, MI, 77058, USA

Set-Aside

SBA

Documents

This scope was carved out of H6.23-2442.

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

View the prime solicitation

Virtual Explanation Reasoning Agent (VERA)

AI Contract Breakdown

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Timeline

Posted

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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Extract and structure expert knowledge from SysML spacecraft models to train and inform VERA’s reasoning and procedure generation modules.

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