Predictive Modeling for Unrated Carriers

SOL #: 6913G626Q300020Award 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 19, 2026
2
Last Updated
Apr 13, 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 U.S. Department of Transportation (DOT), Volpe National Transportation Systems Center, has awarded a Firm Fixed Price (FFP) Purchase Order to Bluewire for Predictive Modeling for Unrated Carriers. This award aims to develop and validate a predictive actuarial model to assign an Interim Risk Rating to unrated Mexican-domiciled carriers operating along the US-Mexico commercial border zone. The award was published on April 13, 2026.

Scope of Work

The awarded project involves the development and validation of a predictive actuarial model. This model will fuse public FMCSA data with private industry data to assign an Interim Risk Rating to unrated Mexican-domiciled carriers, serving as a statistically valid proxy for FMCSA safety ratings. Key deliverables include:

  • Aggregation of multi-source datasets and an updated dashboard.
  • Development of a Risk Pool Definition and Scoring Algorithm.
  • Segmentation of carriers into distinct risk pools based on probability of safety incidents and FMCSA violations.
  • Monthly status reports and teleconferences.

Contract & Timeline

  • Type: Firm Fixed Price (FFP) Purchase Order
  • Awardee: Bluewire (a small business)
  • Set-Aside: Sole Source (to Bluewire)
  • Award Published: April 13, 2026
  • RFQ Due Date: March 26, 2026, 3:00 PM EST

Rationale for Award

Bluewire was selected as the sole source provider due to its proprietary AI capabilities. Their model aggregates non-traditional leading indicators of risk, such as crash scores and "chameleon" carrier identifiers, which competitors primarily relying on reactive data aggregation cannot adequately assess. Bluewire's AI transforms traditional safety ratings into a multidimensional GAP Score, proactively identifying "severity risk" and segmenting carriers into risk pools by identifying latent vulnerabilities missed by traditional FMCSA ratings. The company is only accessible via direct award.

Key Contractual Requirements

The contract incorporates numerous Federal Acquisition Regulation (FAR) and Transportation Acquisition Regulation (TAR) clauses by reference, defining contractual obligations and compliance requirements. Notably, it details specific procedures for electronic submission of payment requests via the DELPHI system (iSupplier), requiring registration through login.gov. Invoices must include a certification statement affirming compliance with various laws and executive orders, including those related to ending illegal discrimination and DEI initiatives.

Contact Information

For inquiries, the primary contact is Karen M. Marino at karen.marino@dot.gov or 617-930-2546.

People

Points of Contact

Karen M. MarinoPRIMARY

Files

Files

Download
Download
Download

Versions

Version 2Viewing
Award Notice
Posted: Apr 13, 2026
Version 1
Combined Synopsis/Solicitation
Posted: Mar 19, 2026
View
Predictive Modeling for Unrated Carriers | GovScope