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This Government Contract opportunity from Massachusetts was posted on August 6, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

AI/ML Model Development and Governance

Closed
State & Local

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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NAICS: 541715
New
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POSTED

about 20 hours ago

DEADLINE

in 27 days

AI Contract Overview

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This subcontract, titled AI/ML Model Development and Governance, is issued by the Massachusetts Office of the Secretary. The project focuses on the development and governance of artificial intelligence and machine learning models specifically designed for crash data quality, location matching, and safety prediction. A critical component of the agreement is the strict adherence to data use policies, with a specific prohibition against unauthorized model training. The opportunity was posted on August 6, 2026, with a response deadline of August 28, 2026. The work is categorized under NAICS code 541715 and will be performed in Boston, Massachusetts. Interested parties can find further details through the provided CommBuys solicitation link.

General Info

Massachusetts Secretary subcontract for AI/ML model development regarding crash data and safety prediction.

Documents

This scope was carved out of BD-27-1030-0P100-0P110-132187.

The full solicitation package (29 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

RFI: DOT HWY Crash Data and Geocoding System (ITS81 Cat1 EDM)

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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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AgencyMassachusetts → 0P100MHDOFFOFSCTY - Office of the Secretary
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Develop and govern AI models for crash data quality, location matching, and safety prediction, ensuring strict compliance with data use policies and no unauthorized model training.

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