Pre-solicitationPosted Mar 18, 2024·Responses due Mar 28, 2024

Autonomy Standards and Ideals with Military Operational Values (ASIMOV)

DARPA · DEF ADVANCED RESEARCH PROJECTS AGCY

Stage
Early notice (sources sought, presolicitation or special notice)
NAICS
541715
Value
Not stated
Solicitation
HR001124S0011
Set-aside
None stated
PSC
AC13
Place
Not stated
Contact
BAA Coordinator (HR001124S0011@darpa.mil)
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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 HR001124S0011 in this department, oldest first.

Early notice
  • Jan 25, 2024
    Pre-solicitation
    Open
  • Feb 7, 2024
    Pre-solicitation
    Open
  • Feb 9, 2024
    Pre-solicitation
    Open
  • Mar 18, 2024 · this notice
    Pre-solicitation
Solicitation
None posted
Award
  • Oct 18, 2024
    Award Notice
    Kitware, Inc · $4.0M
    Open
  • Oct 28, 2024
    Award Notice
    UNIVERSITY OF NEW SOUTH WALES Kensington 2052 AUS · $5.7M
    Open

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 Autonomy Standards and Ideals with Military Operational Values (ASIMOV) program aims to develop benchmarks to objectively and quantitatively measure the ethical difficulty of future autonomy use-cases and readiness of autonomous systems to perform in those use-cases within the context of military operational values. The rapid development and impending ubiquity of autonomy and artificial intelligence (AI) technologies across both civilian and military applications require a robust and quantitative framework to measure and evaluate not only the technical but, perhaps more importantly, the et… (show all)

hical ability of autonomous systems as they emerge beyond R&D. To that end, ASIMOV will tackle this challenge through the development and demonstration of quantitative autonomy benchmarks. ASIMOV is not developing autonomous systems or algorithms for autonomous systems. The ASIMOV program intends to create the ethical autonomy lingua franca to enable the Developmental Testing/Operational Testing (DT/OT) community to meaningfully evaluate the ethical difficulty of specific military scenarios and the ability of autonomous systems to perform ethically within those scenarios. ASIMOV performers will need to develop prototype generative modeling environments to rapidly explore scenario iterations, variability, and across a spectrum of increasing ethical difficulties. If successful, ASIMOV will build the foundation for defining the benchmark with which future autonomous systems will be gauged.

Who won similar work

57 award notices on SAM.gov in the last 24 months. Matched by: Same office (DEF ADVANCED RESEARCH PROJECTS AGCY), same NAICS 541715.

Single-winner award sizes (57): middle half $3.6M to $7.3M, median $5.2M; range $300K to $499.8M.

WinnerAwardsValueLast
SYSTEMS & TECHNOLOGY RESEARCH LLC4$21.0MNov 4, 2025
Two Six Labs, LLC3$27.4MOct 9, 2026
SRI INTERNATIONAL3$23.6MMar 5, 2025
RTX BBN TECHNOLOGIES, INC.3$20.1MAug 11, 2025
SRI INTERNATIONAL Menlo Park CA 94025 USA3$16.0MSep 2, 2025
KITWARE INC2$17.7MMay 22, 2025
LEIDOS, INC. · $LDOS · $17.6B2$14.3MFeb 18, 2025
STEALTH SOFTWARE TECHNOLOGIES, INC.2$13.6MJul 25, 2025
HRL LABORATORIES, LLC2$12.8MMay 1, 2026
HONEYWELL INTERNATIONAL INC.2$9.4MMar 21, 2025

Value counts single-winner awards. "Shared" awards are multiple-award contracts that list every winner with the same total ceiling; that ceiling is not one company's win, so it is not added in. Revenue next to a ticker is the company's last annual revenue from its 10-K.

Investor context
  • $LDOS reported $17.6B revenue (12 months to Jul 3, 2026). The median single-winner award in these 57 past awards, $5.2M, 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 8 most frequent past winners above. Lobbying is matched by the company's exact name or exact ticker; agencies are as named on the filings.

  • 0 of these past winners lobbied Defense Advanced Research Projects Agency (DARPA) since 2024 (0 filings)
  • 0 of their lobbyists list a past Defense Advanced Research Projects Agency (DARPA) job
  • $319K from their corporate PACs since 2024 to members of House Committee on Appropriations, House Committee on Armed Services, Senate Committee on Appropriations, Senate Committee on Armed Services
  • 0 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
  • 32 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 2 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 only. A company we could not match shows no market rows; that is a miss, not a finding.