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Anticipatory and Adaptive Anti-Money Laundering (A3ML)

Closed

DARPA-PS-25-10Federal

Submission Closed05/23/2025, 12:00:00 PM UTC

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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NAICS: 541715

New

Federal

Prototyping & Pilot Project Execution

POSTED

DEADLINE

Japanese Research Partnership

National Research Foundation of Korea

POSTED

DEADLINE

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1 day ago

DEADLINE

in 12 days

AI Contract Overview

The Anticipatory and Adaptive Anti-Money Laundering (A3ML) program is an innovative initiative led by DARPA aimed at transforming anti-money laundering efforts through advanced technological solutions. The project focuses on developing rapid graph-search algorithms capable of analyzing complex financial transaction data to identify suspicious patterns and uncover illicit financial activities. These algorithms are designed to learn and adapt to emerging tactics, techniques, and procedures used by illicit actors, enabling proactive detection of money laundering schemes before they fully materialize. Additionally, the program emphasizes creating a standardized, secure format for representing TTPs that facilitates safe information sharing across industry and government entities, thereby enhancing collaborative efforts to combat financial crime. The solicitation for this contract was posted on March 25, 2025, with a response deadline of May 23, 2025. Managed by DARPA’s Office in Arlington, Virginia, the program seeks innovative proposals under NAICS code 541715, which pertains to research and development in computer programming, data analysis, and related fields. Interested parties can contact the BAA Coordinator via email for further details. The initiative underscores DARPA’s commitment to leveraging cutting-edge research to anticipate and adapt to evolving financial crime tactics, ultimately strengthening national security and financial integrity.

General Info

DARPA seeks advanced anti-money laundering solutions; proposals due by May 23, 2025.

Agency

Department Of Defense → Defense Advanced Research Projects Agcy

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Place of Performance

Set-Aside

NONE

Documents

DARPA-PS-25-10 Amendment 01 - Anticipatory and Adaptive Anti-Money Laundering (A3ML)

amendment

High

DARPA-PS-25-10 Anticipatory and Adaptive Anti-Money Laundering (A3ML)

29 pages · rfp

High

HR0011-XX-9-XXXX - Other Transaction for Prototypes (Fixed Support Template)

30 pages · contract-document

High

HR0011-XX-9-XXXX - Other Transaction for Prototypes (Sample Model)

28 pages · contract-document

High

Attachment 3 - Sample OT Certifications

other

Low

AI Contract Breakdown

Uniform Contract Format

Contract not broken down yet

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Timeline

2 updates

PhaseClosed

PostedMar 14

Solicitation

Notice updatedMar 14

Notice details unchanged. Attachments may have changed.

Notice updatedMar 25

Notice details unchanged. Attachments may have changed.

Response DeadlineMay 23

Deadline has passed

Submission Closed

05/23/2025, 12:00:00 PM UTC

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Organization & Contact Information

AgencyDepartment Of Defense → Defense Advanced Research Projects Agcy

Contacts1 person available

OfficeARLINGTON, VA, 222032114, USA

Organization / AgencyDepartment Of Defense → Defense Advanced Research Projects Agcy

Office AddressARLINGTON, VA, 222032114, USA

Contacts

BAA Coordinator

contact@example.gov

Full Description

The Anticipatory and Adaptive Anti-Money Laundering (A3ML) program seeks to revolutionize the practice of anti-money laundering by developing rapid graph-search algorithms to extract illicit finance tactics, techniques, and procedures (TTPs) from heterogeneous financial transaction data. The algorithms developed will sift through financial transaction graphs for suspicious patterns and learn new patterns to anticipate future activity and emerging TTPs. A3ML also seeks to represent the structure of these TTPs in a generic, sharable format that protects sensitive financial data to facilitate information sharing between and across industry and government.