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AML Group

Durham, United States (US) · Government and Military

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Verified by Enterprise League

Data quality

Complete · Accuracy

Last verified

May 2026

AML Group is a Government and Military company based in Durham, United States (US), founded in 2020, with 2-10 employees. AML Group's profile is verified on Enterprise League.

Overview

AML Group is a Durham, North Carolina-based Machine Learning and Blockchain Design Studio specializing in developing innovative solutions for government agencies and defense contractors.

We leverage cutting-edge technologies, including machine learning and blockchain, to address complex challenges across a range of sectors, from the US Air Force and Navy to the National Security Innovation Network.

AML Group’s expertise lies in creating custom mobile applications, such as the wireless signal mapping application for the US Army’s C5SIR Night Vision Laboratory, combining ray-tracing with machine learning for unparalleled accuracy. We are also actively pursuing blockchain opportunities in areas like public transportation and cybersecurity.

Founded in 2020, AML Group has rapidly established itself as a trusted partner, securing over $6.5 million in government contracts in the past three years. We are dedicated to pushing the boundaries of what’s possible with AI and distributed ledger technology.
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Contact Details

info@amlgroup.us

Durham, United States (US)

Founded

2020

Company Type

Private Limited Company

Employees

2-10

Categories

National Security
Space Travel
Military

Awards

• 2026 OpenSee all

Products

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Wireless Signal Mapping Application
Military

A mobile-optimized application developed for the US Army’s C5SIR Night Vision Laboratory, utilizing machine learning and ray-tracing to accurately map wireless signals in computationally-constrained environments.

N/A


Services

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Blockchain & Distributed Ledger Solutions
Military

AML Group designs and implements blockchain-based solutions for a variety of clients, including incentivizing public transportation and tracking adversarial cryptocurrency transactions.

N/A

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