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PicoJool raises $27.5M Series A to scale optical VCSEL links for AI data centers

PicoJool, a Palo Alto-based startup, secured $27.5 million in Series A funding to commercialize optical connectivity solutions for AI data centers. Socratic Partners led the round, with participation from Hudson River Trading, following a $12 million seed round led by Playground Global. The total funding now stands at $39.5 million, which the company will use to expand teams and facilities in…

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Key points

  • PicoJool raised **$27.5M** Series A, led by Socratic Partners, with Hudson River Trading participating
  • Company targets **200G-per-lane VCSELs** exceeding **37 GHz** bandwidth for AI data center links
  • Funds will expand US/Taiwan operations, qualify products for hyperscalers, and partner with WIN Semiconductor

The funding comes as AI infrastructure faces a critical bottleneck: data transfer between processors in dense clusters. PicoJool’s technology—vertical-cavity surface-emitting lasers (VCSELs)—aims to reduce latency and energy use in high-speed links like its 200G-per-lane VCSEL, which the company claims exceeds 37 GHz of bandwidth. The startup is also developing lower-power MicroVCSEL configurations for near-packaged and co-packaged optics. Unlike competitors, PicoJool treats optical links as core to system efficiency, arguing that energy-per-bit reductions directly impact power density and cooling needs.

The Series A follows PicoJool’s June unveiling of its VCSEL and MicroVCSEL family. The company is collaborating with WIN Semiconductor, a gallium-arsenide foundry, to prepare for production. Success hinges on overcoming yield, reliability, and integration challenges—key hurdles for optical components scaling to hyperscale volumes.

Full story from Unite.AIOpen source ↗

PicoJool Raises $27.5M to Scale Optical Connectivity for AI Data Centers

Unite.AI · 24 September 2026

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PicoJoolSocratic PartnersHudson River TradingPlayground GlobalWIN SemiconductorPat Gelsinger

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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