Solinide closes €4M for AI data centre photonic chips

Swedish deeptech company Solinide Photonics has successfully raised €4 million in seed funding. The capital infusion, reported on August 20, 2026, will accelerate the commercialisation of its silicon nitride photonic integrated circuit (PIC) technology, with a primary focus on applications within AI data centres and preparing for scalable manufacturing.

Photonic integrated circuits are becoming crucial for addressing the increasing demands of data traffic, compute load, and signal processing. Traditional electronics struggle to keep pace as Moore’s Law reaches its limits, making PICs, which manipulate signals using photons instead of electrons, a vital alternative. Projects like EXCITE aim to develop scalable photonic gate array platforms for photonic chip development and data centre switch applications.

Solinide's silicon nitride technology aligns with efforts to enhance data centre efficiency. NEWPhotonics, for instance, has focused on creating highly efficient, all-optic chip architectures to improve power-hungry DSP chips in optical transceivers and core-switches within hyperscale data centres, directly tackling growing energy consumption. Another project, QPIC1550, is developing a quantum photonic integrated circuit platform at 1550 nm, integrating SiN PICs for quantum communication and computing, highlighting the versatility and importance of silicon nitride in advanced photonics.

This investment positions Solinide Photonics to bring its innovative solutions to market, addressing the critical need for more efficient and powerful components in the rapidly expanding AI infrastructure. The company’s focus on silicon nitride PICs for AI data centres could significantly impact the sector's energy footprint and processing capabilities.

What this means: Solinide's funding marks a step towards deploying advanced photonic chips to handle the intensive data processing requirements of AI, potentially leading to more energy-efficient and higher-capacity data centres.