Project AURA highlights how operators can transition from traditional connectivity to AI-first digital infrastructure by integrating AI-driven RAN optimization, edge AI applications, and open network APIs.
The demonstration showed how operators can enhance RAN performance, enable AI-powered edge use cases, and open up new digital services through network APIs.
The project reinforces the role of AI-RAN as a commercial pathway for operators seeking to reduce cost, improve resource and energy efficiency, and unlock new revenue models.
“This moves AI-RAN beyond theory,” says SynaXG chief business officer Mantosh Malhotra, “it proves that operators can deploy and scale AI-driven RAN capabilities while simultaneously monetizing edge intelligence.”
As part of a Catalyst Project AURA (AI-RAN), SynaXG deployed its complete AI-RAN software stack, including Layer 1, Layer 2, and Layer 3 microservices on Red Hat OpenShift, the single cloud-native platform for both network and IT workloads.
The same platform concurrently ran 5G FR1/FR2 workloads, Vision AI pipelines, large model inference, and AI-for-RAN functions such as energy savings, interference cancellation, and link optimization.
“Running AI and RAN workloads together on Red Hat OpenShift offers a common, scalable, and flexible foundation for operators as they evolve toward 5G-Advanced and future 6G deployments, driving significant operational efficiency and TCO reduction,” says Red Hat’s Anand Venkat.
“Project AURA demonstrates how AI-RAN can move from concept to real-world implementation,” said Sadayuki Abeta, CTO, OREX SAI, “bringing full-stack Open RAN expertise, including RU, vRAN, and SMO development and system integration. By combining SynaXG’s AI-RAN software with an open, cloud-based architecture like Red Hat OpenShift, we can not only maximise infrastructure ROI and enhance network performance but also transform RAN into a strategic revenue-generating asset. The project plans to use open network APIs, such as TM Forum-compliant APIs and CAMARA APIs, to integrate OSS/BSS with edge AI applications. Examples include video analytics, drone control, and location-based services. This approach will help operators deliver value beyond being just connectivity providers.”
SynaXG is now working with partners to advance Project AURA from proof-of-concept to commercial deployment, enabling operators, hyperscalers, and enterprises to integrate AI and edge intelligence seamlessly into their existing 5G infrastructure.
SynaXG has raised $20 million in venture funding from
Capital Growth Credit, Vertex Ventures, and Qualgro.
