{"id":268733,"date":"2025-07-17T07:31:09","date_gmt":"2025-07-17T07:31:09","guid":{"rendered":"https:\/\/www.europesays.com\/uk\/268733\/"},"modified":"2025-07-17T07:31:09","modified_gmt":"2025-07-17T07:31:09","slug":"q-ant-grabs-e62m-in-europes-biggest-investment-in-photonic-computing-tfn","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/uk\/268733\/","title":{"rendered":"Q.ANT grabs \u20ac62M in Europe\u2019s biggest investment in photonic computing \u2014 TFN"},"content":{"rendered":"<p>As the AI boom pushes silicon chips and data centres to their limits, Stuttgart-based Q.ANT is changing the game by developing light-powered processors that significantly reduce energy costs while dramatically increasing computing power.\u00a0<\/p>\n<p>Their \u20ac62 million Series A funding round was co-led by<a href=\"https:\/\/techfundingnews.com\/cherry-ventures-launches-500m-fund-in-a-bold-bet-on-europes-tech-future\/\" target=\"_blank\" rel=\"noreferrer noopener\"> Cherry Ventures<\/a>, <a href=\"https:\/\/techfundingnews.com\/europes-largest-private-fusion-investment-proxima-fusion-grabs-e130m-for-worlds-first-stellarator-power-plant\/\" target=\"_blank\" rel=\"noreferrer noopener\">UVC Partners<\/a>, and <a href=\"https:\/\/techfundingnews.com\/eyeo-secures-15m-seed-round-ultra-compact-high-resolution-imaging\/\" target=\"_blank\" rel=\"noreferrer noopener\">imec.xpand<\/a>, with participation from additional deep-tech investors, including L-Bank, <a href=\"https:\/\/techfundingnews.com\/how-kyron-bio-rewrites-the-rules-for-biologic-drugs-with-e5-5m-raise-one-sugar-molecule-at-a-time\/\" target=\"_blank\" rel=\"noreferrer noopener\">Verve Ventures<\/a>, <a href=\"https:\/\/techfundingnews.com\/vytal-lands-e14-2m-to-expand-smart-reusable-packaging-solution-to-the-us\/\" target=\"_blank\" rel=\"noreferrer noopener\">Grazia Equity<\/a>, EXF Alpha, LEA Partners, <a href=\"https:\/\/techfundingnews.com\/black-semiconductor-closes-e254m-for-next-gen-graphene-based-chip-tech\/\" target=\"_blank\" rel=\"noreferrer noopener\">Onsight Ventures<\/a>, and TRUMPF. This represents the biggest investment in European photonic computing to date, signalling investor belief that the next major computing breakthrough may come through analogue and photonic technology rather than electrical and digital approaches.<\/p>\n<p>While the company keeps its precise valuation under wraps, it notes: \u201cOur \u20ac62 million Series A ranks among Europe\u2019s largest deep tech rounds for photonic computing, and reflects investor confidence in the market need for native, light-based architectures.\u201d<\/p>\n<p>The rapid rise of AI and high-performance computing (HPC) has placed immense pressure on data centres. Energy use is nearing critical levels: \u201cAI data centres are projected to consume up to 17% of US electricity by 2030, and operational costs are rising as a single GPU now consumes as much power as a kitchen oven. Data centre energy consumption is expected to increase by 160% this decade,\u201d explains Q.ANT to TFN.<\/p>\n<p>However, the issue extends beyond energy consumption. \u201cTraditional chips aren\u2019t designed for the complexity of modern AI. An 8-bit multiplication on a CMOS processor requires 1,200 transistors; on Q.ANT\u2019s photonic chip, it\u2019s just one optical element, providing up to 30 times higher energy efficiency. Even common operations like a Fourier transform, which use over a million transistors on silicon, are performed in light with a single component.\u201d<\/p>\n<p>Behind Q.ANT: Redefining data centre hardware<\/p>\n<p>To address this bottleneck, Q.ANT has developed the world\u2019s first commercial photonic processor, built on thin-film lithium niobate (TFLN). Instead of shuffling electrons, these chips compute directly with light, offering radical new efficiency at speeds that traditional architectures simply can\u2019t match.<\/p>\n<p>\u201cQ.ANT delivers photonic processors based on thin-film lithium niobate, allowing direct analogue computation with light. This approach skips the power-hungry translation to digital bits, solving non-linear equations natively, critical for AI,\u201d the team shares. \u201cWhat we deliver today is a turnkey system that integrates seamlessly into a data centre. This is unique in the photonic computing industry. Nobody else has that.\u201d<\/p>\n<p>Q.ANT\u2019s Native Processing Server is a plug-and-play system, compatible with today\u2019s software stacks and programming languages, including C++ and Python. Even the installation feels comfortingly familiar to seasoned data centre managers: \u201cOur servers come without water cooling and installation costs, you don\u2019t need to consider special load capacity of your datacenter floor: it\u2019s a bit like installing servers in the past, just 4 screws and 2 cables.\u201d<\/p>\n<p>For developers, the goal is effortless adoption. \u201cWe make it very easy to use so that you can program it with one click. Developers want to run their code without worrying about the hardware. Together with our partners, we will ensure that the optimal processor is automatically selected for the task at hand and the developer gets their response function back promptly.\u201d<\/p>\n<p>Vision born in research, forged in industry<\/p>\n<p>Q.ANT\u2019s leap is the result of years of foresight and \u201chands-on industry experience, as well as our extensive work with Thin Film Lithium Niobate, a material optimal for computing with light.\u201d The company was founded in 2018 by Dr.<a href=\"https:\/\/de.linkedin.com\/in\/michaelfoertsch\" target=\"_blank\" rel=\"noreferrer noopener nofollow\"> Michael F\u00f6rtsch<\/a>, a physicist and alumnus of the Max Planck Institute, who spun the team out of the German manufacturing giant TRUMPF.<\/p>\n<p>\u201cWe have been developing photonic chip technology since 2018. Since 2022, we have specifically been building AI accelerators because, even before AI became widely used, we foresaw an impending energy and performance problem for when AI would enter the mainstream market,\u201d says F\u00f6rtsch.<\/p>\n<p>Q.ANT\u2019s 100+ employees hail from over 19 nationalities, with ages ranging from 19 to 71. Over 30% of the workforce are women, including in crucial roles like engineering and leadership, a diversity rarely seen in deep-tech startups.<\/p>\n<p><strong>Making the impossible possible<\/strong><\/p>\n<p>While several corporations worldwide are pursuing photonic computing, notable names include Lightmatter (US), Celestial AI (US), Arago (France), and Oriole (Israel). Most of these companies are focused on integrating optics for interconnects or remain at the demonstrator stage.<\/p>\n<p>\u201cCompetitors in the international context used a different material, and after some time, they had to look for other applications because their processors did not work with the quality that the market would accept. They did not reach the precision. Before Q.ANT, 5-bit precision was the maximum. Since we have been around, 16-bit is no problem. We also have the prospect of 32-bit precision,\u201d the company says.<\/p>\n<p>\u201cUnlike most \u2018photonic\u2019 or quantum competitors still in R&amp;D, Q.ANT\u2019s first-generation processors are easy to integrate into today\u2019s data centres,\u201d thanks in part to their manufacturing on a repurposed 90nm CMOS line in Germany. This innovative approach proves scalability and underscores European chip sovereignty.<\/p>\n<p>Physics simulations, complex image recognition, and previously cost- or time-prohibitive AI applications get a new lease of life: \u201cSoftware users realise that they can run certain applications faster than before. Applications that were once too complex to program or took too long to calculate are now feasible. Our processor can be used to create training sets that were neither economically viable nor time-relevant in the past.\u201d<\/p>\n<p>For the customer, the value is as practical as it is profound: \u201cThe data centre operator has lower electricity costs \u2013 that\u2019s an economic added value\u2026 Software users realise that they can run certain applications faster than what used to be too complex to program or took too long to calculate.\u201d<\/p>\n<p>What\u2019s next for Q.ANT?<\/p>\n<p>With the product in the hands of early adopters, Q.ANT\u2019s sights are firmly set on rapid market integration. \u201cOver the next five to seven years, Q.ANT\u2019s focus is to establish photonic computing as a new foundation for AI and high-performance computing. Our roadmap is ambitious.\u201d<\/p>\n<p>The company plans to push the boundaries of its Native Processing Server, improving precision, speed, and density, and to replicate its pilot line at new foundries globally. \u201cWe are seamlessly integrated into the existing AI software stack and support programming languages like C++ and Python; we are confident to win [developers] over.\u201d<\/p>\n<p>Ultimately, Q.ANT envisions itself as a chip company, not a manufacturer, aiming to license its photonic technology as the market matures: \u201cBy the end of this decade, our aim is for photonic co-processors to be standard in major data centres, working alongside CPUs and GPUs to deliver the performance and efficiency today\u2019s workloads demand.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"As the AI boom pushes silicon chips and data centres to their limits, Stuttgart-based Q.ANT is changing the&hellip;\n","protected":false},"author":2,"featured_media":268734,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3164],"tags":[323,3284,16547,299,5036,12,53,16,15],"class_list":{"0":"post-268733","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-computing","8":"tag-ai","9":"tag-computing","10":"tag-deeptech","11":"tag-europe","12":"tag-funding","13":"tag-news","14":"tag-technology","15":"tag-uk","16":"tag-united-kingdom"},"share_on_mastodon":{"url":"https:\/\/pubeurope.com\/@uk\/114867410411295495","error":""},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/posts\/268733","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/comments?post=268733"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/posts\/268733\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/media\/268734"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/media?parent=268733"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/categories?post=268733"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/tags?post=268733"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}