ROME, N.Y. — ANDRO Computational Solutions, LLC recently announced it has been awarded a multimillion-dollar U.S. Army contract to advance artificial intelligence and machine learning (AI/ML) readiness through the generation of high-fidelity synthetic radio frequency (RF-Gen) datasets to enhance operational capabilities in electronic warfare (EW) and signal intelligence (SIGINT) domains. RF-Gen leverages state-of-the-art generative AI […]
ROME, N.Y. — ANDRO Computational Solutions, LLC recently announced it has been awarded a multimillion-dollar U.S. Army contract to advance artificial intelligence and machine learning (AI/ML) readiness through the generation of high-fidelity synthetic radio frequency (RF-Gen) datasets to enhance operational capabilities in electronic warfare (EW) and signal intelligence (SIGINT) domains.
RF-Gen leverages state-of-the-art generative AI models to produce high-quality synthetic RF datasets that replicate realistic radio-frequency environments, including complex interference and contested spectrum conditions, Rome–based ANDRO said. The datasets are vital for training and evaluating AI/ML models designed for modern EW and SIGINT systems. By creating data-rich, controlled, and secure simulation environments, RF-Gen ensures that mission-critical algorithms can be trained and tested without depending on expensive real-world RF data-collection systems that may be limited or restricted in the manner or type of data acquired.
The project, called, “RF-Gen: AI/ML-Ready Synthetic RF Data,” is being led by ANDRO’s Marconi-Rosenblatt AI Innovation Lab under the direction of co-principal investigators Jithin Jagannath, chief scientist – chief technology officer, and Anu Jagannath, chief scientist – chief research officer, according to the ANDRO announcement. The work directly supports the Army’s Project Linchpin initiative that is focused on delivering AI/ML capabilities enabling rapid development, integration, and deployment of advanced analytics to the Army’s Integrated EW and sensor-modernization efforts.
According to ANDRO President Andrew Drozd, the RF-Gen project spotlights his company’s Marconi-Rosenblatt Lab strengths and expertise in AI/ML-driven RF systems, paving the way for emergent RF Machine Learning operational (RFMLOps) solutions for the military. The project team also includes Deepwave Digital — a Philadelphia–based commercial software-defined radio (SDR) hardware supplier.
Built upon an advanced AI/ML hybrid framework, RF-Gen ensures adaptability across diverse operational and commercial contexts — from tactical defense applications to next-generation telecommunications. Its architecture allows integration with a broad range of AI frameworks, supporting both defense and commercial partners seeking to enhance system resilience and situational awareness.
ANDRO Computational Solutions is a privately-owned company, established in 1994, that is dedicated to research, development, and the application of advanced computer software for a variety of applications. Located in the Griffiss Business & Technology Park in Rome, ANDRO provides research, engineering, and technical services to defense and commercial industries.
