Foundational AI Models for the Electromagnetic Spectrum

Corax Labs is at the forefront of AI research, crafting intelligent systems to navigate the challenges of modern electronic warfare.

Watson

Radar Language Models for Advanced Emitter Classification

Watson is our groundbreaking foundational AI model inspired by the capabilities of large language models but uniquely designed for the electromagnetic spectrum. Utilizing Pulse Descriptor Words (PDWs), Watson processes and classifies radar emitters with unmatched precision. By interpreting radar signals as a form of language, Watson introduces a paradigm shift in emitter classification, enabling faster, more accurate, and context-aware analysis for modern electronic warfare applications.

Maxwell

Foundational Intelligence from IQ Data

Maxwell is a pioneering foundational model that learns directly from in-phase and quadrature (IQ) data. By bypassing traditional feature extraction, Maxwell transforms how signal classification and other spectrum tasks are approached. With its ability to analyze raw signal data natively, Maxwell provides unparalleled versatility and accuracy, powering applications from anomaly detection to signal classification.

Fourier

Wideband Spectrogram Intelligence

Fourier is our cutting-edge model designed to understand the wideband spectrograms with exceptional depth and accuracy. Specialized in dense spectral prediction tasks such as semantic spectrum segmentation and signal recognition, Fourier opens new frontiers in spectrum analysis. By leveraging foundational AI techniques, Fourier excels in managing complex spectral environments, enabling intelligent decisions in real-time.

Contact

E-mail: reseach@corax-labs.com

Corax Labs