PIC Summit 6d

Press releases

OpenLight attending PIC Summit 2026

19 January 2026 - Plug and Play Techology Center, Sunnyvale, California

SANTA CLARA, Calif., January 13th, 2026 — OpenLight’s silicon photonics heterogeneous integration technology is core to the manufacture of next-generation, semiconductor chips used in datacom, telecom, LiDAR, HPC, AI, and optical computing markets. It improves performance, power, efficiency, and reliability.

The company's CEO, Dr Adam Carter, will be in attendance at PIC Summit, an exclusive invitation-only event focusing on the future of photonics and their use in creating faster, more efficient chips for data centers and applications relying on high-speed data transfer. The event takes place on 19 January at Sunnyvale, CA's Plug and Play Tech Center.

OpenLight has made its open-platform PDK available to engineers to design and manufacture bespoke Photonics Application Specific Integrated Circuits (PASIC) for their own industries, extending the global reach and uptake of silicon photonics technology.

OpenLight – making photonics simple.

More Press releases

OpenLight and DoplayDo Expand Silicon Photonics Ecosystem with GDSFactory Support
Jan 2025

OpenLight and DoplayDo Expand Silicon Photonics Ecosystem with GDSFactory Support

The collaboration will drive broad adoption and accelerate the integration of silicon photonics chips for datacom, AI, sensing, LiDAR technologies,…

OpenLight and DoplayDo Expand Silicon Photonics Ecosystem with GDSFactory Support
Shaping the future of silicon photonics at OFC.
Apr 2025

Shaping the future of silicon photonics at OFC.

Thank you to everyone who visited OpenLight at OFC and saw us shaping the future of silicon photonics! 

Shaping the future of silicon photonics at OFC.
Modulation beyond 200G for AI/ML and Ethernet applications.
Apr 2024

Modulation beyond 200G for AI/ML and Ethernet applications.

OpenLight’s Post Deadline Paper Th4C.8 at this year’s OFC, covering Modulation beyond 200G, was an exhibition highlight.

Modulation beyond 200G for AI/ML and Ethernet applications.