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AI Cost Prediction & ML Model Development

Active

State & Local

Response Deadline09/11/2026, 09:30:00 PM UTC

Contract Overview

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

AI Contract Overview

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This subcontract focuses on the development and training of machine learning models to assist prime contractors with transportation project cost estimating for the South Carolina Department of Transportation. The scope of work involves creating specialized algorithms for unit price recommendations, regional cost adjustments, and quantity scale effects, while utilizing historical datasets to implement outlier detection and continuous learning loops. All development must align with the NIST AI Risk Management Framework to ensure a functional and secure AI/ML engine for cost predictions. The project is categorized under NAICS code 541511 and was posted on August 11, 2026, with a response deadline of September 11, 2026. This initiative is managed by the South Carolina Department of Transportation and aims to modernize cost estimation processes through the integration of advanced AI/ML frameworks.

General Info

AI/ML model development for South Carolina DOT transportation project cost estimating services.

Agency

South Carolina → Department Of TransportationView Agency

NAICS

541511 - Custom Computer Programming ServicesView NAICS

Place of Performance

SC, USA

Set-Aside

NONE

Documents

This scope was carved out of 5400030075.

The full solicitation package (2 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

RFI: AI for Transportation Project Estimating/Costing

AI Contract Breakdown

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Timeline

PostedAug 11

subcontract

Response DeadlineSep 11

Submission deadline

Response Deadline

09/11/2026, 09:30:00 PM UTCin 5 days

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Organization & Contact Information

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AgencySouth Carolina → Department Of Transportation

ContactsNo contacts available

OfficeN/A

Organization / Agency

South Carolina → Department Of Transportation

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Office AddressN/A

ContactsNo contact information available

Full Description

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Develops and trains machine learning models for prime contractors on SCDOT transportation project cost estimating projects. Develops algorithms for unit price recommendations, regional cost adjustments, and quantity scale effects. Implements continuous learning loops and outlier detection using AI/ML frameworks and historical SCDOT datasets. Aligns development with NIST AI RMF. Delivers a functional AI/ML engine for cost predictions.

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