DeepSig, a pioneer in AI-native wireless communications, will showcase partner integrations at Mobile World Congress 2026 in Barcelona, demonstrating how AI-native technologies are being integrated across Open RAN Infrastructure and portable spectrum intelligence platforms.

At MWC 2026, DeepSig will highlight demonstrations reflecting the growing ecosystem adoption of its AI-native software platforms.

Collaborating with NVIDIA, SRS, and the AI-RAN Alliance, DeepSig is demonstrating AI-RAN Solutions OmniPHY-5G^® and OmniPHY^® Axon, including a pre-6G fully learned waveform on top of the 3GPP Rel 17 GPU-accelerated OCUDU stack. OCUDU is an open-source software platform for base stations that accelerates innovation in mobile networks. Running on the compact NVIDIA DGX Spark, the demonstration highlights a scalable, carrier-grade base station supporting both commercial 5G and emerging 6G mobile devices.

By combining GPU-accelerated RAN with AI-RAN applications and an AI-Native Air Interface, the platform delivers next-generation functionality, throughput, capacity, and resilience. This 5G and 6G (MRSS) operation reflects the need for 6G to operate seamlessly with 5G connectivity and enables real-world deployment and validation. Powered by the robust Axon modem architecture trusted across advanced backhaul and autonomous platforms, DeepSig is paving the way for the next generation of software-defined connectivity.

Separately, DeepSig has partnered with PCTEL to integrate its OmniSIG® spectrum awareness software into PCTEL’s new SeeHawk® Scout tactical signal intelligence platform, which will showcase the real-time spectrum-monitoring capabilities of OmniSIG, integrated directly into a portable, autonomous heterodyne receiver. This demo highlights how AI-powered sensing, combined with advanced signal decoding, can detect and classify signals across FR1/FR2 cellular and non-cellular bands, identify interference sources, locate base stations, and deliver actionable intelligence to network operators, regulators, non-terrestrial networks, public safety, defense and military users, and aviation.

Together, these demonstrations illustrate how AI-native wireless intelligence can operate across diverse deployment models, from centralized Open RAN infrastructure to field-deployable spectrum monitoring systems operating AI-RAN seamlessly in today’s platforms.

“Our focus is on embedding intelligence directly into wireless systems,” said Jim Shea, CEO of DeepSig. “Whether operating inside open CU/DU architectures or within portable spectrum intelligence platforms, AI-native processing enables faster signal understanding, improved interference detection, and more adaptive network performance. These collaborations reflect how ecosystem partners are integrating AI directly into real-world wireless deployments.”

The demonstrations will highlight DeepSig’s capabilities, including:

• Neural receiver-based physical layer processing within Open RAN environments
• Real-time spectrum sensing and signal classification
• Interference detection and localization
• Integration across commercial and mission-critical spectrum use cases

As spectrum becomes more crowded and dynamic and as networks continue evolving toward software-defined architectures, DeepSig’s AI-native platforms support scalable deployment across infrastructure, edge, and portable systems.

See DeepSig in action at MWC 2026:

• DeepSig meeting room – Hall 2, Room 2J17MR (private demos available)
• AI-RAN Alliance Demo with NVIDIA – Hall 2 Stand #2E45
• PCTEL – Hall 2 Stand #2F40

To schedule a meeting or request a demo, contact info@deepsig.ai.

About DeepSig, Inc.

DeepSig is a pioneer in AI native wireless communications. Its transformative technology pushes the boundaries of spectrum sensing, wireless performance and network capabilities. Drawing on a unique blend of expertise in deep learning, wireless systems and signal processing, DeepSig’s AI/ML-powered software enhances security, efficiency and capacity for tactical and commercial wireless communications in licensed or shared radio spectrum and in existing 5G Open RAN or AI native next generation networks.

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