Predictive Modeling for Unrated Carriers

SOL #: 6913G626Q300017Award NoticeSole Source

Overview

Buyer

Transportation
Office Of The Secretary
6913G6 VOLPE NATL. TRANS. SYS CNTR
CAMBRIDGE, MA, 02142, United States

Place of Performance

Cambridge, MA

NAICS

Other Computer Related Services (541519)

PSC

Support Services, Delivered As A Service Contract (Saa S Or Subscription) Involved With The Analysis, Design, Development, Code, Test And Release Packaging Services Associated With Application Development Projects, As Well As Off The Shelf Business Software. (DA10)

Set Aside

No set aside specified

Timeline

1
Posted
Mar 18, 2026
2
Last Updated
Apr 23, 2026

Qualification Details

Fit reasons
  • NAICS alignment with historical contract wins in similar service areas.
  • Scope strongly matches core technical capabilities and delivery model.
Risks
  • Past performance thresholds may require one additional teaming partner.
  • Potential clarification needed on staffing minimums before bid/no-bid.
Next steps

Validate eligibility requirements, assign capture owner, and schedule partner outreach to confirm teaming strategy before submission planning.

Quick Summary

The Department of Transportation, Office of the Secretary, Volpe National Transportation Systems Center, has awarded a Firm Fixed-Price, non-competitive Purchase Order for Predictive Modeling for Unrated Carriers. This award, published on April 23, 2026, was made based on a sole source justification.

Scope of Work

The awarded project focuses on developing and validating a predictive actuarial model to assign an Interim Risk Rating to unrated Mexican-domiciled carriers. These carriers operate along the U.S.-Mexico commercial border zone or conduct long-haul international transport. The model aims to serve as a statistically valid proxy for FMCSA safety ratings, segmenting carriers into distinct risk pools based on their probability of safety incidents and FMCSA violations. Key aspects include:

  • Aggregation of proprietary AI to identify non-traditional leading indicators of risk (e.g., crash scores, "chameleon" carrier identifiers).
  • Segmentation of carriers into distinct risk pools.
  • Creation of a "severity risk" score, moving beyond historical compliance.

Contract Details

  • Type: Firm Fixed-Price, non-competitive Purchase Order (Sole Source)
  • Awardee: Bluewire (identified as a small business in the Sole Source Justification)
  • Set-Aside: None specified (awarded via sole source justification)
  • Award Date: April 23, 2026
  • Place of Performance: Cambridge, MA 02142, United States
  • Product/Service Code: DA10 - Support Services for Application Development Projects and Off-the-Shelf Business Software.

Evaluation

This was a non-competitive award, justified by market research that identified Bluewire as the most suitable vendor. Bluewire's proprietary AI and unique ability to provide predictive risk assessment for unrated carriers, unlike competitors who primarily rely on trailing indicators, were key factors. The model aggregates data across nine critical vulnerability gaps and uses dynamic peer-grouping.

Additional Notes

The contract incorporates various Federal Acquisition Regulation (FAR) and Transportation Acquisition Regulation (TAR) clauses by reference. These include requirements for electronic submission of payment requests via the DELPHI system (iSupplier) and security requirements for unclassified information technology resources. Bidders would typically need to review these clauses to understand legal and regulatory requirements, though this is an award notice.

People

Points of Contact

Karen M. MarinoPRIMARY

Files

Files

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Versions

Version 4Viewing
Award Notice
Posted: Apr 23, 2026
Version 3
Award Notice
Posted: Apr 23, 2026
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Version 2
Combined Synopsis/Solicitation
Posted: Mar 25, 2026
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Version 1
Combined Synopsis/Solicitation
Posted: Mar 18, 2026
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