AI-Enabled Incident Response System with sUAS and Human Copilots (AIRS-COP)
- 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
- [email protected]
Description
AI GeneratedThe 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 award | Value | Ends |
|---|---|---|
| VIRGINIA POLYTECHNIC INSTITUTE & STATE UNIVERSITY693JJ426F00044N · IDIQ CONTRACT THAT PROVIDES FMCSA WITH RESEARCH AND TECHNOLOGY TO IMPROVE THE SAFETY OF CO | $250.0K | Sep 28, 2031 |
| TOXCEL LLC693JJ926F00105N · . . TITLE: CHILD PASSENGER SAFETY FOR CHILDREN WITH ADAPTIVE TRANSPORTATION NEEDS | $1.3M | Sep 24, 2031 |
| VIRGINIA POLYTECHNIC INSTITUTE & STATE UNIVERSITY693JJ926F00010N · TITLE: INFRASTRUCTURE TO FACILITATE BROADER USE OF FIELD DATA COLLECTED WITH CONSUMER AVAI | $2.0M | Aug 16, 2031 |
| VIRGINIA POLYTECHNIC INSTITUTE & STATE UNIVERSITY693JJ926F00066N · THE PRIMARY OBJECTIVE OF THIS RESEARCH IS TO IDENTIFY POTENTIAL SAFETY RISKS ASSOCIATED WI | $550.0K | Aug 31, 2030 |
| ENSCO INC69319526F30067N · THE PURPOSE OF THIS NEW TASK ORDER AWARD IS TO MONITOR FROG CONDITION USING NOISE AND/OR V | $1.0M | Sep 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. ENSCO INC$29.0M
- 2. LEIDOS, INC.$20.7M
- 3. GENEX SYSTEMS, LLC$19.4M
- 4. VIRGINIA POLYTECHNIC INSTITUTE & STATE UNIVERSITY$14.2M
- 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 sourceCraxy AI summarizes this opportunity from the original listing and available solicitation documents. Confirm submission instructions and amendments with the issuing source before responding.
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