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Washington, D.C. December 2024 – Expression Networks, LLC (Expression), a leading provider of artificial intelligence (AI), enabled data fusion and analytics, information technology (IT) and electromagnetic spectrum (EMS) management solutions, has won a Direct to Phase 2 (D2P2) Small Business Innovation Research (SBIR) contract. This award supports Expression’s development of a cutting-edge AI-enabled solution to modernize the Army’s Acquisition Requirements Package (ARP) processes.

The Army’s ARP modernization initiative seeks to address critical challenges in the ARP process. Labor-intensive tasks, such as ingesting contract requirements, selecting contract types and clauses, and assembling documents, significantly prolong ARP cycles and drain valuable resources. A lack of standardization and built-in compliance mechanisms often results in errors and inconsistencies in documents. Moreover, existing tools lack intuitive interfaces and adaptability for diverse roles like program managers and contracting officers.

Expression solves these challenges with Trusted Agentic AI – our innovative technology to power human-agent collaboration with trust in mission-critical applications. Built on the five tenets of TRUST – Transparency, Reliability, Unassailability, Scalability, and Testability – Trusted Agentic AI features a Multi-Agent Solution that orchestrates teams of collaborative and adversarial agents to deliver trusted workflows. Trusted Agentic AI is embedded in Visualize, Observe, and React (VOR™), Expression’s Data to Intelligence platform. As part of the Phase II effort, Expression will research, develop, and deliver a functional prototype of Trusted Agentic AI, enabled through VOR.AI and tailored specifically to the Army’s ARP workflows. By implementing trusted agent workflows, this prototype will significantly reduce solicitation cycle time and operational cost, enhance the accuracy and consistency of solicitation documents, while simultaneously supporting a wide array of users and tasks.

Beyond Department of Defense support, Trusted Agentic AI offers transformative potential across a broad spectrum of industries, including cybersecurity, healthcare, logistics, and more. Expression remains committed to redefining trust in AI and shaping a future where trusted agents amplify human potential and drive mission success.

LinkedIn Article

Washington D.C., July 2024

Expression Networks welcomes Kevin Benedict, as our new Chief Growth Officer. With an extensive background as a career Officer in the US Air Force and multiple leadership roles within the Defense Industry, his appointment is a strategic move that aligns with our ambitious growth objectives. As Expression’s CGO, Mr. Benedict will oversee all BD functions and fill the crucial role of driving Expression Networks’ strategic growth objectives.

Mr. Benedict’s academic credentials are equally impressive, boasting an Executive MBA from the University of Colorado, a Master of Science in Space Operations and Systems Engineering from the Air Force Institute of Technology, and a BSEE from the Colorado Technical University. His academic prowess perfectly complements his professional accomplishments.

Throughout his career, Mr. Benedict has demonstrated an exceptional ability to lead intricate projects, drive strategic growth, and develop groundbreaking solutions in the aerospace and defense sectors. His expertise in business development, program management, and strategic planning has consistently yielded significant results, solidifying his status as a key figure in his field.

We look forward to your leadership and contributions; welcome to the Expression team!

Washington, D.C. May 2024 – Expression Networks, LLC (Expression), a leading provider of artificial intelligence and machine learning (AI/ML)-enabled data fusion and analytics, information technology (IT), and electromagnetic spectrum (EMS) management solutions, announced that it has achieved “Awardable” status through the Chief Digital and Artificial Intelligence Office’s (CDAO) Tradewinds Solutions Marketplace.

The Tradewinds Solutions Marketplace is the premier offering of Tradewinds, the Department of Defense’s (DoD’s) suite of tools and services designed to accelerate the procurement and adoption of AI/ML, data, and analytics capabilities. In support of modernization efforts, Expression designs and tailors innovative solutions used by multiple Government agencies, including the DoD and Drug Enforcement Administration (DEA).

Expression’s video, TRUST-LLMOps (Trustworthy, Reliable, Unassailable, Scalable, and Transparent large language model (LLM) Operations): Unleashing Data Intelligence at Speed and Scale, is accessible by Government customers on the Tradewinds Solutions Marketplace. TRUST-LLMOps, an LLM-powered data intelligence solution, democratizes data access and analytics, empowering decision-makers with timely and scalable data intelligence and interoperability for Combined Joint-All-Domain Command and Control (CJADC2). TRUST-LLMOps addresses DoD challenges such as unadaptable queries and analytics, unpredictable mission scenarios, and the significant hours and efforts operators and analysts take to query vast and disparate data sets and derive actionable insights. Our unique solution involves a heterogeneous team of collaborative and adversarial LLMs, ensuring reliable, secure, scalable, and transparent responses while keeping humans in the decision cycle. In the video, we demonstrate our TRL 5 solution in a multi-source intelligence scenario, empowering an intelligence analyst to swiftly transform complex forensic data with open-source and signals intelligence into actionable intelligence, within minutes.

Expression was recognized among a competitive field of applicants to the Tradewinds Solutions Marketplace whose solutions demonstrated innovation, scalability, and potential impact on DoD missions. Government customers interested in viewing the video solution can create a Tradewinds Solutions Marketplace account at tradewindAI.com and access the video at: https://tradewindai.com/marketplace/clvmeul1n0000ih08cpclvewb.