Sources SoughtPosted Aug 20, 2026·Original deadline passed (May 12). See latest amendment for current deadline.

Artificial Intelligence, Machine Learning, and Data Science (AI/ML/DS) Technical Support Services

Homeland Security (all) · SCI TECH ACQ DIV

Stage
Early notice (sources sought, presolicitation or special notice)
NAICS
541611
Value
Not stated
Solicitation
70RSAT26RFI000015
Set-aside
None stated
PSC
R408
Place
Not stated
Contact
Jennifer K. Koons (Jennifer.Koons@hq.dhs.gov)
Loading your pipeline and notes…
CSV Email

Capture briefs (a one-page, shareable copy of this page) are part of Pro. The CSV here holds the notice, its timeline and past awards.

Where this opportunity stands

Every notice posted under solicitation 70RSAT26RFI000015 in this department, oldest first.

Early notice
  • Apr 27, 2026
    Sources Sought
    Open
  • Aug 20, 2026 · this notice
    Sources Sought
Solicitation
None posted
Award
Not yet. Too few past cases at this agency to estimate timing (5 found; 10 needed).

Next steps for this stage

Standard steps for the notice type; not advice about this buyer.

  • Answer the notice: this is when the requirement can still be shaped.
  • Contact the contracting officer named on the notice.
  • Check who won similar work; they are the likely bidders.

What the notice says

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 impr… (show all)

oving 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: To gain an understanding of the capabilities of small businesses to support DHS S&T�s AI/ML/DS requirements. To gain an understanding of Industry�s capabilities to support DHS S&T�s AI/ML/DS requirements. Conduct market research for a potential task order under the GSA OASIS+ contract vehicle.

Who won similar work

5 award notices on SAM.gov in the last 24 months. Matched by: Same agency (Homeland Security (all)), same product/service code (PSC) R408.

Single-winner award sizes (5): middle half $885K to $2.4M, median $1.7M; range $323K to $1.0B.

WinnerAwardsValueLast
B.I. INCORPORATED1$1.0BSep 30, 2025
D&G Support Services, LLC1$2.4MSep 23, 2025
BOOZ ALLEN HAMILTON INC · $BAH · $11.1B1$1.7MOct 30, 2024
ABSG CONSULTING INC1$885KSep 4, 2026
CHEVO LLC1$323KJul 7, 2026

Value counts new single-winner awards. "Shared" awards are multiple-award contracts that list every winner with the same total ceiling (same contract, or the same office, day and amount); that ceiling is not one company's win, so it is not added in. Contract modifications are not new awards and are not added in either. Revenue next to a ticker is the company's revenue over the latest 12 months in its SEC filings.

Investor context
  • $BAH reported $11.1B revenue (12 months to Jun 30, 2026). The median single-winner award in these 5 past awards, $1.7M, is under 0.1% of that. SEC filing

One award's total value against one year of revenue; many awards are paid over several years.

Latest awards

Materiality: one award's value as a share of the winner's revenue over the latest 12 months in its SEC filings (or its last fiscal year, as noted when you point at it). Low under 1%, Medium 1 to 5%, High 5% or more. Many awards are paid over several years, so this overstates a single year's share.

Competitive landscape

For the 5 most frequent past winners above. Lobbying is matched by the company's exact name or exact ticker; agencies are as named on the filings.

  • 1 of these past winners lobbied Homeland Security, Dept of (DHS) since 2024 (12 filings)
  • 1 of their lobbyists list a past Homeland Security, Dept of (DHS) job
  • $47K from their corporate PACs since 2024 to members of House Committee on Appropriations, House Committee on Homeland Security, Senate Committee on Appropriations, Senate Committee on Homeland Security and Governmental Affairs
  • 1 foreign-agent (FARA) registrations
See who and the source records with Pro

Policy around it

Bills the past winners named while lobbying this agency's issues, rules from the department, and executive orders that name the agency, last 12 months.

  • 0 bills named on the past winners' lobbying filings
  • 515 rules from the department in the last 12 months
  • 0 executive orders naming the agency in the last 12 months
See who and the source records with Pro

Market

For past winners matched exactly to a listed company. Insider trades are open-market buys and sells (Form 4) in the last 90 days, shown as facts; our own study found insiders do not reliably buy ahead of awards. A sale marked 10b5-1 was made under a trading plan set up in advance.

  • 1 of the past winners are listed companies
  • 0 insider buys and 1 insider sells at them in the last 90 days
See who and the source records with Pro

Sources: SAM.gov notices and award notices; Senate LDA lobbying filings; FEC filings; FARA; Federal Register; congress.gov; SEC Form 4. Every row above links to its record.

Companies are matched to tickers by exact name, including the subsidiaries a company lists in its SEC filings. A company we could not match shows no market rows; that is a miss, not a finding.