Mixx Technologies, a pioneer in system-scale optical connectivity for artificial intelligence (AI) infrastructure, has closed a $33 million Series A funding round. The oversubscribed round was led by ICM HPQC Fund, with participation from TDK Ventures, Systemiq Capital, Banpu Innovation & Ventures, G Vision Capital, Ajinomoto Group Ventures, AVITIC Innovation Fund, and other strategic partners.
Founded by former engineers behind Intel’s silicon photonics transceivers and Broadcom’s co-packaged optics (CPO), Mixx Technologies is addressing the interconnect bottleneck that limits AI scalability. Its proprietary HBxIO™ silicon-integrated optical engine merges photonics, system architecture, and advanced packaging to optimize end-to-end data movement for AI workloads.
Vivek Raghuraman, CEO and co-founder of Mixx Technologies, emphasized, “AI infrastructure performance is now measured system-wide. Every picojoule saved and nanosecond gained compounds across trillions of interconnected nodes. HBxIO™ redefines connectivity for the exabyte era.”
The funding will accelerate product development, expand global R&D presence in the U.S., India, and Taiwan, and strengthen ecosystem partnerships with cloud service providers and AI developers.
Editorial View:
Mixx Technologies stands at the confluence of AI demand and optical innovation. The company’s deep expertise, drawn from breakthroughs at Intel and Broadcom, positions it to address one of the most pressing infrastructure challenges: scaling AI without sacrificing speed or efficiency. With global AI deployments growing exponentially, Mixx’s focus on energy-efficient, high-bandwidth, low-latency optical interconnects can redefine how data centers handle massive AI models.
Furthermore, the company’s HBxIO™ platform demonstrates a scalable solution that could set new standards for cloud providers and AI infrastructure developers. By combining hardware innovation with system-level orchestration, Mixx Technologies is creating a foundation that future-proof AI deployments for years to come. Its strategic partnerships and funding reflect confidence in its potential to lead the next wave of AI infrastructure evolution.
If you need further assistance or have any corrections, please reach out to editor@thetimesmag.com.
