{
  "id": 3079993,
  "title": "Quintessent Raises $40 Million to Make AI Datacenters Faster and Less Power-Hungry",
  "url": "https://urgent.news/2026/08/24/quintessent-raises-40-million-to-make-ai-datacenters-faster-and-less",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-24T18:07:57.000Z",
  "source": {
    "name": "Ventureburn",
    "slug": "ventureburn",
    "url": "https://ventureburn.com/quintessent-raises-40-million-for-low-power-ai-lasers/"
  },
  "original_language": "en",
  "account": "AI datacenters require immense amounts of data to be transferred between computers, which necessitates the use of lasers. However, there are limited lasers available, and the ones that are present consume excessive power. To address these issues, Quintessent has raised $40 million to develop a novel chip laser that can resolve both problems simultaneously. The challenge Quintessent aims to solve involves the growing demand for data centers due to the AI boom, which requires more ways to transfer data via lasers and fiber cables. There are two primary issues at hand: the shortage of lasers in factories, and the high energy consumption of existing lasers. Quintessent believes it has found a solution. The company recently secured $40 million in funding and announced the availability of its first product for customer testing. The funding round was spearheaded by Cycle Capital, with additional investments from Goldman Sachs, Ciena, Susquehanna International Group, and other prominent investors. Meanwhile, the leading tech companies have recently established a new method for connecting AI computers using multiple colors of light simultaneously, which demands a substantial number of lasers. Additionally, the primary material used to manufacture these lasers is scarce globally, leading to production constraints. To overcome these obstacles, Quintessent has designed an optical laser module that integrates eight lasers into a single chip. This single chip configuration simplifies control, reduces component count, and lowers power consumption. It also utilizes a common material that is already abundantly produced, thereby circumventing the current shortage of lasers. Furthermore, the design offers increased efficiency, as the company claims the new setup can reduce power usage for data transfer by up to 40% compared to traditional methods. The company has also ensured the module can be manufactured in large-scale production using standard chip-making tools, enabling it to scale with the increasing demand for AI. Quintessent unveiled its innovative technology at a major industry event earlier this year and now offers customers the opportunity to test it in their own laboratories via an evaluation kit. The primary objective of Quintessent, with the $40 million raised, is to complete testing, verify product reliability, and commence mass production. This laser marks the beginning of a broader plan for the company, which includes developing additional components necessary for AI datacenters, such as amplifiers and plug-in modules. The rapid growth of AI is consuming more electricity than ever before, with a significant portion attributed to data transfer within datacenters. Quintessent's CEO, Alan Liu, emphasized the company's focus on simplifying optical connections for easier deployment and scalability, and their shift towards meeting customer demands.",
  "summary": "AI datacenters need to move huge amounts of data between computers and that requires a lot of lasers. However, there aren’t enough lasers to go around, and the available ones The post Quintessent Raises $40 Million to Make AI Datacenters Faster and Less Power-Hungry appeared first on Ventureburn .",
  "key_points": [
    "Quintessent raises $40 million for AI datacenter laser technology",
    "Company develops single-chip laser module to reduce power consumption",
    "New technology aims to address laser shortage and high energy usage"
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}