Aylight closes €4.5M pre-seed round to advance optical interconnect technology

· Source: Tech.eu - Tech.eu · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Emerging Technologies & Innovation · Depth: Intermediate, quick

Summary

Zürich-based deeptech startup Aylight has secured €4.5 million in a pre-seed funding round to advance its chip-scale multiwavelength laser technology. Founded in 2025 by Bahareh Marzban and Dmitry Kazakov, the company's innovation generates multiple precisely spaced wavelengths from a single chip, utilizing a frequency-modulated comb architecture compatible with existing semiconductor photonics foundries. This funding, co-led by Elaia and Swisscom Ventures with participation from Verve Ventures and Plug and Play, will support the development of semiconductor-foundry prototypes and expand its R&D team. Aylight's technology addresses critical laser constraints in scaling AI infrastructure, enhancing optical interconnects for data centers and enabling high-precision frequency-modulated continuous-wave (FMCW) sensing, semiconductor inspection, metrology, industrial automation, and precision robotics.

Key takeaway

For AI Architects designing next-generation data centers, Aylight's chip-scale multiwavelength laser technology signals a critical shift. You should evaluate how this innovation, by reducing reliance on multiple discrete lasers, could alleviate current optical interconnect bottlenecks. Consider its potential to enhance data transfer efficiency and support escalating AI workload demands, impacting future infrastructure planning and hardware procurement.

Key insights

Chip-scale multiwavelength lasers can resolve AI infrastructure scaling constraints by improving optical interconnect efficiency.

Principles

Method

Aylight's method involves developing chip-scale multiwavelength lasers based on a frequency-modulated comb architecture, designed for manufacturing in existing semiconductor photonics foundries.

In practice

Topics

Best for: Investor, Entrepreneur, AI Architect

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Editorial summary, takeaway, and curation by AIssential. Original article published by Tech.eu - Tech.eu.