Scintil Photonics, based in Grenoble, France, has raised $58 million (€50M) in a Series B round to scale its integrated photonics technology for AI data centers. The funding, led by Yotta Capital Partners and NGP Capital with participation from NVIDIA and BNP Paribas Développement, will support international expansion, new hiring, and ramp-up of Scintil’s LEAF Light™ single-chip DWDM light engine designed for co-packaged optics (CPO). Existing backers Supernova Invest, Bpifrance, Innovacom, Bosch Ventures, Applied Ventures, and AVITIC also joined the round.
The company’s SHIP™ (Scintil Heterogeneous Integration Photonics) platform integrates lasers, modulators, and photodiodes on a single silicon chip, reducing component count and improving energy efficiency. LEAF Light™ delivers 6.4 Tbps/mm edge bandwidth density at about one-sixth the power of conventional pluggables, enabling large GPU clusters to scale bandwidth without prohibitive energy costs. Analysts project the AI networking market to reach nearly $100 billion annually by 2030, with co-packaged optics and DWDM light sources seen as essential for connecting thousands of GPUs at scale.
Scintil will expand from its Grenoble hub into the U.S. to serve hyperscaler customers directly, building on its roots in CEA-Leti’s semiconductor ecosystem. “Our SHIP™ technology enables integrated photonic solutions with the scalability, energy efficiency, and integration density required to power next-generation compute infrastructure,” said Matt Crowley, CEO of Scintil Photonics.
Tbps
- Grenoble-based Scintil Photonics raises $58M Series B
- Led by Yotta Capital and NGP Capital, with NVIDIA participating
- Funding supports U.S. expansion, hiring, and high-volume production
- SHIP™ platform integrates lasers and modulators on a single chip
- LEAF Light™ delivers 6.4 Tbps/mm at ~1/6 the power of pluggables
- Target market: hyperscale GPU clusters and AI factories
🌐 Analysis: Scintil’s expansion signals the rapid shift toward optical interconnects as GPU-based AI factories scale up. Backing from NVIDIA highlights hyperscalers’ reliance on photonics to overcome bandwidth and energy bottlenecks. Scintil’s foundry-aligned approach puts it in direct competition with Ayar Labs, Lightmatter, and Celestial AI, as all race to deliver manufacturable optical engines for high-volume AI deployments.
🌐 We’re tracking the latest developments in networking silicon. Follow our ongoing coverage at: https://convergedigest.com/category/semiconductors/