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By Asma Adhimi
POET Technologies has closed a US$400m investment round aimed at scaling manufacturing capacity and strengthening its position in photonic interconnects for AI infrastructure.
The Toronto-based company, which develops photonic integrated circuits (PICs), optical engines and light-source products for hyperscale data centers and AI systems, said the funding came through a registered direct offering to a single institutional investor. The deal included 19 million common shares and warrants at a purchase price of US$21 per security.
For eeNews Europe readers, the announcement highlights the growing demand for optical interconnect technologies as AI clusters become larger and more bandwidth-hungry. It also underlines how photonics suppliers are racing to expand manufacturing and secure supply-chain capabilities ahead of expected volume deployments in 2027 and beyond.
POET said it plans to use the proceeds to accelerate manufacturing expansion, increase R&D investment and support acquisitions and partnerships.
“We are in the process of expanding our capacity by roughly ten-fold in both wafer production and optical engine assembly in order to support a transition to higher volume manufacturing into 2027,” said Dr. Suresh Venkatesan, Chairman & Chief Executive Officer of POET.
The company linked the expansion to its recently announced agreement with Lumilens and what it described as other “high-volume opportunities” nearing completion.
POET has also been increasing its operational footprint in Asia. According to Venkatesan, the company has expanded its Singapore laboratory and office space by nearly three times over the last year and now operates 20,000 square feet of assembly space in Malaysia. Global headcount has also grown to more than 115 employees.
The offering price represented a premium over POET’s Nasdaq closing share price of US$20.57 on May 14. The accompanying warrants are exercisable for three years at US$26.25 per share.
Alongside manufacturing scale-up, POET said it is actively evaluating acquisition and partnership opportunities to broaden its product portfolio and strengthen engineering capabilities.
“Corporate development is a high priority for the Company,” continued Dr. Venkatesan. “We are actively evaluating and engaging with multiple acquisition and partnership opportunities that can strengthen our engineering capabilities, broaden our product portfolio and enhance our access to strategic technologies and components.”
The company develops optical engines and light-source products targeting 800G and 1.6T interconnects for AI clusters and hyperscale data centers. Its Optical Interposer platform integrates photonic and electronic devices on a single chip using wafer-level semiconductor manufacturing processes.
POET argues that this approach can reduce power consumption and system cost while improving scalability for high-volume AI deployments.
The company also emphasized that a stronger balance sheet would improve its standing with customers and suppliers as AI infrastructure projects move toward larger commercial rollouts.
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