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AI-Enabled Incident Response System with sUAS and Human Copilots (AIRS-COP)

Federal · Department of TransportationDue Thursday, October 15, 2026
Client
Department of Transportation
RFP Number
SW-120229
Posted
10/1/2026
Category
Software, System and Application
Budget
Looking for Proposals
NAICS
541715
Set-aside
No Set aside used
Contact
Jason Motala

Description

AI Generated

The buyer requires an AI-enabled incident response system with small Unmanned Aircraft Systems (sUAS) and human copilots, designated as AIRS-COP. The scope involves reviewing and assessing navigation, path planning, and obstacle avoidance for traffic incident response, while evaluating AI applications and Vision-Language Models (VLM) for real-time data processing and automated decision-making. The vendor must examine human-AI collaboration workflows, analyze computing architectures for battery and thermal management, and enable AI-aided autonomous navigation to incident sites based on real-time observations. Furthermore, the contractor must integrate vision large language models into edge and cloud pipelines to support real-time data collection, processing, and first response, ultimately providing recommendations and insights for the effort. Only USA-based onshore organizations are eligible to bid, and the contractor must perform the work offsite at its own office premises. The buyer seeks proposals for the budget, but the provided text specifies no submission deadlines, question dates, evaluation criteria, or contract terms.

Official SAM.gov notice

Solicitation number
693JJ3-26-SN-0010
Agency
Department of Transportation
Buying office
Federal Highway Administration › 693JJ3 Acquisition and Grants MGT
Notice type
Sources Sought
Responses due
Oct 15, 2026, 10:00 PM ET
Posted on SAM.gov
Sep 30, 2026
NAICS
541715 · Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
Product/service code
AS13
Set-aside
No Set aside used
Place of performance
48376, VA
Contracting contact
Jason Motala
[email protected]
Read the official notice description

Title: "AI-Enabled Incident Response System with sUAS and Human Copilots (AIRS-COP)”

See attachment for full details and information

Source: SAM.gov contract opportunities data (U.S. federal public data).

Incumbent

No incumbent history found for this requirement. The notice does not cite a current contract, and no earlier award from this buying office matches it.

Market context

Awards in the same category (Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)). This is not this requirement's award history.

Recent similar awards: Department of Transportation, NAICS 541715, performed in VA

Vendor and awardValueEnds
VIRGINIA POLYTECHNIC INSTITUTE & STATE UNIVERSITY693JJ426F00044N · IDIQ CONTRACT THAT PROVIDES FMCSA WITH RESEARCH AND TECHNOLOGY TO IMPROVE THE SAFETY OF CO$250.0KSep 28, 2031
TOXCEL LLC693JJ926F00105N · . . TITLE: CHILD PASSENGER SAFETY FOR CHILDREN WITH ADAPTIVE TRANSPORTATION NEEDS$1.3MSep 24, 2031
VIRGINIA POLYTECHNIC INSTITUTE & STATE UNIVERSITY693JJ926F00010N · TITLE: INFRASTRUCTURE TO FACILITATE BROADER USE OF FIELD DATA COLLECTED WITH CONSUMER AVAI$2.0MAug 16, 2031
VIRGINIA POLYTECHNIC INSTITUTE & STATE UNIVERSITY693JJ926F00066N · THE PRIMARY OBJECTIVE OF THIS RESEARCH IS TO IDENTIFY POTENTIAL SAFETY RISKS ASSOCIATED WI$550.0KAug 31, 2030
ENSCO INC69319526F30067N · THE PURPOSE OF THIS NEW TASK ORDER AWARD IS TO MONITOR FROG CONDITION USING NOISE AND/OR V$1.0MSep 30, 2029

Top vendors in this category: Department of Transportation, NAICS 541715, since Oct 1, 2024

722 contract awards in this NAICS over the period.

  1. 1. ENSCO INC$29.0M
  2. 2. LEIDOS, INC.$20.7M
  3. 3. GENEX SYSTEMS, LLC$19.4M
  4. 4. VIRGINIA POLYTECHNIC INSTITUTE & STATE UNIVERSITY$14.2M
  5. 5. UNIVERSITY OF OKLAHOMA$10.0M

Source: USAspending.gov federal award data (U.S. federal public data). A contract is called the incumbent only when the notice or its documents cite it by number.

Source and verification

Original source

Craxy AI summarizes this opportunity from the original listing and available solicitation documents. Confirm submission instructions and amendments with the issuing source before responding.

2 cached source filesDocuments checked

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