Vadum developed Alert Handling for Anomalous Behavior (AHAB) capabilities for the United States Coast Guard (USCG). This pioneering machine learning (ML) system enables automatic analysis of maritime video surveillance feeds to detect and flag behaviors associated with drug smuggling.

LASERTAG is a novel ML framework that analyzes, efficiently structures, and intuitively explains large volumes of unstructured multi-modal data within Command, Control, Communications, and Computer (C4) to increase operator confidence.

Vadum, Inc. is pleased to announce it was awarded a contract for the Missile Defense Agency Scalable Homeland Innovative Enterprise Layered Defense (SHIELD) indefinite-delivery/indefinite-quantity (IDIQ) contract with a ceiling of $151B for the rapid delivery of innovative capabilities to the warfighter.

In this first episode, Vadum CEO Aaron Walker discusses the company’s humble beginnings supporting the counter IED mission in Iraq and Afghanistan and the path into Directed Energy systems, current Cognitive Electronic Warfare capabilities, and the challenges of countering drones at scale.

Vadum has developed Prediction, Optimization, and Scheduling of System Engagements (POSSE) algorithms to efficiently and effectively schedule AEGIS Combat System engagements of closely spaced air defense threats.

Introducing Sonar Adapted Low-shot Model for Ordnance Neutralization (SALMON) – a sonar automatic target recognition (ATR) platform with targeted data generation to improve mine countermeasures while reducing training data needs.