Press release

Finnish MarshallAI wins U.S. Department of Defense sponsored xTech AI Challenge

PRESS RELEASE

For immediate release.

The European pioneer in machine vision, MarshallAI, won the international xTech Global AI Challenge, sponsored by the U.S. Department of Defence (DoD). This was the first ever DoD sponsored prize-money competition for non-US companies. The focus of the challenge was to find capabilities that provide robust, AI-enabled capabilities to manage, integrate, and process disparate data and information sources for rapid decision making.

The U.S. Department of Defense has in cooperation with Fedtechin held several xTech competitions for US companies. The program aims at enhancing DoD engagements with small to medium sized  enterprises. The  xTech Global AI Challenge  (https://www.arl.army.mil/xtechsearch/competitions/xtechglobal.html) announced in March  2021 is the first international tri-service competition.

Finland based MarshallAI’s concept named “Configurable Deep Learning Pipelines for DoD Computer Vision” was chosen among the ten finalists in June 2021. In addition six UK companies and one from Israel, Switzerland and France were invited to participate in the finals in London on September 10th 2021. U.S. Department of Defense appointed judges and subject matter experts rated the pitches and chose MarshallAI as the winner.

“It is super encouraging to take part in the first international competition by the largest office in the world and come out as the winner! We are confident that this victory will help us to close funding for rapid growth and look forward to the upcoming Fedtech accelerator programme” , says Marcus Nordström, CEO of MarshallAI.

“It was wonderful to meet the finalists of the xTechGlobal AI Challenge and see them pitch their unique AI technologies to the U.S. Department of Defense. Our team at FedTech is excited to continue working with them throughout the next three months as part of a global startup accelerator, supporting MarshallAI in transitioning its AI object detection suite to customers across the globe”, says Ben Dobkin, Senior Analyst at Fedtech.

MarshallAI participated with the same AI platform used to automate border processing of commercial traffic by the Finnish Customs. The platform empowers regular users to replicate their own  human sensing without any AI expertise nor writing a single line of code. The deep learning based machine vision frees up resources and enables better educated decisions in the field. The need for computer vision is global and usually arises unexpectedly and urgently.

MarshallAI is a Finland based leading intelligent video analytics provider. The development started in 2014 and the company provides a production ready end-to-end platform for replication of human sensing for regular users. MarshallAI’s technology is used to increase security, make law-enforcement and defense more efficient and to enable smart cities and traffic.

U.S. Department of Defense is the largest office in the world. The U.S. defense budget is over $700 billion and the department employs close to 3 million employees. The more than 4000 sites mission is to provide the military forces needed to deter war and ensure the nation’s security. The armed forces are the Army, Marine Corps, Navy, Air Force, Space Force and Coast Guard. The Army National Guard and the Air National Guard are reserve components of their services and operate in part under state authority.

Fedtech is a venture firm at the intersection of entrepreneurship, breakthrough technologies, and mission-driven organizations. Since 2015 it has been dedicated to providing entrepreneurs, intrapreneurs, and government game-changers a viable path to transition breakthrough technologies to real-world impact. It employs deep relationships and collaboration that spans across the DoD, NASA, DoE, NIST, VA, federal labs, research institutions, and corporations.

Further information:

Marcus Nordström, +358 50 506 7329,
marcus@marshallai.com (Eastern European time zone)

September 13th 2021, for immediate release

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