| Location: | Federal |
|---|---|
| Posted: | Aug 20, 2026 |
| Due: | May 12, 2026 |
| Agency: | HOMELAND SECURITY, DEPARTMENT OF |
| Type of Government: | Federal |
| Category: |
|
| Solicitation No: | 70RSAT26RFI000015 |
| Publication URL: | To access bid details, please log in. |
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APEX Accelerators are funded in part through a cooperative agreement with the Department of Defense.
The APEX Accelerators program was formerly known as the Procurement Technical Assistance Program (opens in new window) (PTAP).
The Department of Homeland Security Science and Technology Directorate (DHS S&T) requires professional scientific, technical and programmatic assistance services to support development of advanced passenger and baggage screening technologies and automated image analysis software for the Transportation Security Administration (TSA). TSA projects passenger screening throughput will increase over the next decade from 3 million to 10 million passengers per day, which will require new and advanced passenger and baggage screening technologies to handle these projected loads while simultaneously improving passenger experience.
The overall intent of this technical effort is to provide artificial intelligence, machine learning, and data science expertise and experience for research, development, and assessment of technologies for improving the security, throughput, and passenger experience at airport checkpoints and similar environments. The specific intent of this technical effort is to apply artificial intelligence, machine learning (AIML), and data science (DS) expertise and experience towards supporting, developing, and delivering various AIML and DS tools to improve checkpoint screening throughput and related equities. This includes conducting and providing independent evaluations, supporting testing, validation, and standards development, evaluating and analyzing AIML and DS tools, developing and evaluating automated image analysis software and algorithms, supporting development and interpretation of open architecture data and metadata standards, and supporting and creating algorithm training, validation, testing and assurance tools for advanced screening and related technologies.
The purposes of this RFI are:
| Apr 27, 2026 | [Sources Sought (Original)] Artificial Intelligence, Machine Learning, and Data Science (AI/ML/DS) Technical Support Services |

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