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Code Metal Acquires Signal Processing Technologies, Launches Advanced RF Group

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Code Metal has acquired Signal Processing Technologies (SPT), marking its first acquisition as the artificial intelligence software company expands into radio frequency (RF) engineering and communications technologies used across commercial telecommunications, industrial systems and defense applications.

Financial terms of the deal were not disclosed.

The acquisition also establishes Code Metal’s new Advanced RF Group, which will focus on technologies including software-defined radio, spectrum sensing, RF machine learning and Positioning, Navigation and Timing (PNT). The move broadens the company’s AI platform beyond software development into signal processing and hardware optimization.

Founded in 2019, SPT specializes in digital signal processing, advanced communications, spectrum awareness and RF technologies. Co-founders Joe Farkas and Dr. Brandon Hombs will join Code Metal to lead the newly formed business unit.

The transaction comes months after Code Metal raised $125 million in a Series B funding round at a $1.25 billion post-money valuation, underscoring investor interest in AI platforms designed for engineering and mission-critical applications. The company counts organizations including the U.S. Air Force, RTX, Toshiba and L3Harris among its customers.

The acquisition reflects growing demand for technologies capable of designing, validating and deploying software across increasingly complex computing environments. As artificial intelligence accelerates software development, companies are shifting attention toward ensuring that algorithms can operate reliably on hardware platforms ranging from CPUs and GPUs to digital signal processors, FPGAs and application-specific integrated circuits (ASICs).

Code Metal said the addition of SPT strengthens its ability to bridge software and semiconductor implementation, particularly for applications operating across the electromagnetic spectrum.

The importance of RF technologies has grown as industries deploy connected infrastructure, autonomous platforms and next-generation wireless networks. Applications such as satellite communications, industrial IoT, autonomous vehicles and emerging 5G and 6G systems require reliable communications, spectrum awareness and real-time signal processing in increasingly congested radio environments.

Through the acquisition, Code Metal aims to combine its AI-driven engineering platform with SPT’s expertise in RF systems to help customers accelerate development while improving verification and deployment.

According to the company, the new Advanced RF Group will support capabilities spanning advanced communications, software-defined radio, spectrum awareness, spectrum sensing, RF machine learning, autonomous sensing systems and resilient communications for contested-spectrum environments. The group will also address commercial wireless infrastructure and next-generation aerospace and defense platforms.

SPT said the transaction enables its engineering expertise to be delivered through a scalable software platform rather than customized development projects. The combined platform is intended to help engineers move more quickly from algorithm development to deployment across production hardware.

The acquisition also reflects broader changes across the semiconductor and communications industries, where AI, advanced computing and specialized silicon are becoming increasingly interconnected. Signal processing algorithms must be optimized for diverse hardware architectures while meeting stringent performance and reliability requirements in mission-critical environments.

Code Metal said integrating RF engineering into its platform expands its ability to support customers developing intelligent systems that combine AI, communications software and semiconductor technologies.

The company said it expects the Advanced RF Group to serve customers across telecommunications, industrial automation, autonomous systems, aerospace and defense, where demand is growing for spectrum-aware platforms capable of operating reliably in complex operating environments.

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