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Chronicles

The story behind the story

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Cambridge, UK-based Camgraphic, which is developing graphene-based photonics chips for AI, HPC, autonomous cars, and other applications, raised a €25M Series A

The money will be used to develop the startup's R&D operations in Pisa and establish a pilot manufacturing line in Milan

Sifted Maya Dharampal-Hornby

Context & Ripple Effects

Camgraphic sits at the intersection of two related hardware efforts: graphene electronics, exemplified by Cambridge peer Paragraf's earlier graphene-electronics Series A, and photonic chip architectures, where Lightmatter's $400M photonics round showed the scale of capital reaching the field.

The financing matters because it couples research expansion with a pilot line, moving the company’s next test from technical development toward manufacturability.

First-order effects

  • Camgraphic can expand its Pisa R&D operation and set up a pilot manufacturing line in Milan.
  • The round gives Camgraphic resources to develop its graphene-based photonics chips for the AI, HPC and autonomous-vehicle applications it targets.

Second-order effects

  • A pilot line makes manufacturing execution a nearer-term differentiator for graphene-chip developers; related coverage later showed Paragraf pursuing manufacturing scale through a $55M Series C.
  • Potential customers and partners in HPC and AI hardware gain another early-stage photonics supplier to evaluate, though commercial adoption still depends on pilot-line results.

Third-order effects

  • If pilot manufacturing translates into repeatable devices, investment in advanced compute components may increasingly fund the path from materials research to production capability rather than chip design alone.
  • The pattern could broaden the competitive set for AI and HPC hardware beyond conventional electronic processors, but it remains contingent on manufacturability and customer qualification.

The trend: AI and HPC demand is drawing capital toward specialized photonic and advanced-material chip platforms that must prove both performance and scalable manufacturing.