Salience Labs, a pioneer in photonic solutions for AI data center infrastructure, has successfully raised $30 million in Series A financing. The round was led by ICM HPQC Fund and Applied Ventures, LLC, the venture arm of Applied Materials, Inc., with participation from Braavos, Oxford Sciences Enterprises, Cambridge Innovation Capital, Silicon Catalyst, and semiconductor industry leader Jalal Bagherli.

The funding will accelerate the development of optical switches designed to provide high-bandwidth, low-latency, and energy-efficient connectivity for large-scale AI clusters.

Quotes from Industry Leaders

Vaysh Kewada, CEO, Salience Labs:
"Our customers need a photonic switch that integrates with existing AI infrastructure while offering massive bandwidth, ultra-low latency, and power efficiency. This funding will bring our product to market and unlock large-scale AI cluster connectivity."

Anand Kamannavar, VP & Global Head, Applied Ventures:
"Silicon photonics will drive the next generation of energy-efficient AI data centers. Salience Labs’ optical switch solution is a breakthrough for high-speed, power-efficient AI systems."

Dr. Jalal Bagherli, Former CEO, Dialog Semiconductor:
"Salience Labs' decade-long research and customer-driven approach position them as a clear leader in AI and data center infrastructure."

Dr. William Jeffrey, ICM HPQC Fund & Board Member, Salience Labs:
"By leveraging light, Salience Labs' optical switches will enable unprecedented scalability, unlocking the full potential of modern AI servers while cutting costs and energy consumption."

Why This Matters for AI Data Centers

Unmatched Scalability – Optical switches provide higher bandwidth and lower latency than traditional interconnects.
Energy Efficiency – Reduces power consumption in AI infrastructure.
Seamless Integration – Compatible with existing AI clusters for easy adoption.

The Future of AI Connectivity

Salience Labs is set to reshape AI networking with silicon photonics-driven solutions, empowering next-generation AI workloads, cloud computing, and high-performance data centers.