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Antimatter Launches as the World’s First Vertically Integrated Neocloud for AI Inference, Plans to Establish Global Headquarters in Hong Kong

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Combining over 1GW of secured power capacity across distributed micro-power sites in the US, Europe and GCC, Antimatter will deploy a global network of 1,000 distributed micro data centers to serve the growing AI inference market  — 5 times faster and 50% cheaper than hyperscalers

HONG KONG, May 4, 2026 /PRNewswire/ — Antimatter, a new category of neocloud purpose-built for the distributed AI economy, today announced its launch through the strategic combination of three companies: Datafactory (US-based energy and power infrastructure), Policloud (modular micro data center network), and Hivenet (distributed cloud provider).

The combined entity creates the industry’s first fully integrated AI infrastructure platform spanning energy sourcing, physical hardware, and cloud software — designed to serve the explosive global demand for AI inference at a fraction of hyperscale cost and dramatically faster time to market.

Antimatter plans to establish its global headquarters in Hong Kong, and is deploying capital at an unprecedented pace to build out the first global neocloud network optimized for AI inference. The company is securing €300 million to fund the deployment of its first 100 Policloud units in 2026, representing 40,000 GPUs and over 3.6 exaFLOPS of active compute capacity.

By the end of 2030, the planned network of 1,000 Policlouds will provide more than 400,000 GPUs and over 36 exaFLOPS of distributed AI inference capacity — the equivalent of five traditional hyperscale data centers, deployed across dozens of countries with 50% lower capital spending and significantly faster time to market.

Antimatter is led by David Gurlé, the serial high-tech entrepreneur who founded Microsoft’s Real-Time Communications business (today’s Microsoft Teams), led Skype’s enterprise division and its sale to Microsoft, and founded Symphony Communication Services.

“In the age of AI, intelligence is not the bottleneck — energy is,” said David Gurlé, Cofounder, Executive Chairman, and CEO of Antimatter. “The infrastructure built for the first era of cloud and AI was designed around centralized scale. But the inference era requires a different model: more distributed, faster to deploy, and sovereign by design. That is the infrastructure Antimatter is building.”

Why AI Inference is Breaking the Cloud Model

The first wave of AI was about training massive models in centralized data centers. But the next phase — inference — is about running those models billions of times per day, across applications like copilots, agents, and real-time decision systems.

That shift changes everything. Inference requires infrastructure that is closer to users, faster to deploy, more energy-efficient, and geographically distributed. Traditional hyperscalers were not built for this. Their model relies on massive, centralized campuses that can take years to build and require enormous upfront capital.

Antimatter’s answer: bring the data center to the energy, not the energy to the data center.

The global data center capacity market is projected to grow from 55GW in 2023 to 220GW by 2030 — a 22% CAGR — yet grid connection queues and infrastructure delays are emerging as the primary bottleneck. In Europe alone, more than 12 TWh of renewable electricity were curtailed in 2023, representing over €4.2 billion in lost value. At the same time, more than 1,000GW of additional renewable capacity remains stuck in permitting and grid-connection queues across Europe and the GCC.

A Full-Stack Neocloud Built for the AI Inference Era

Antimatter is uniquely positioned as the only neocloud that controls the complete value chain:

Energy-first model
More than 1GW of secured power capacity, including over 160MW already operational across Texas and Oregon, USA. Antimatter deploys Policloud units directly at or near existing power assets — including wind, solar, hydro, or biogas sites — converting stranded generation into productive AI infrastructure in a matter of months, rather than waiting years for new transmission capacity.

Decentralized infrastructure layer
A fleet of modular, containerized micro data centers, each housing up to 400 GPUs and deployable in as little as five months, compared with 24+ months for traditional hyperscale builds. Antimatter currently operates 17 units across 8 sites and has a commercial pipeline of more than 500 additional units.

Distributed software layer
A proprietary distributed computing and storage platform providing the orchestration intelligence that connects distributed hardware into a single, sovereign cloud fabric with global default Tier 3 capability — supporting billions of inference requests each day, with sub-10ms latency for edge workloads and full data sovereignty for regulated industries.

Key Competitive Advantages

Metric

Antimatter

Traditional Hyperscale

Capex per fully loaded MW

~US$7M

~US$35M

Deployment timeline

5 months

24+ months

Customer pricing

~50% below hyperscalers

Market rate

Edge latency

Sub-10ms

Variable

Carbon reduction

~70% lower;

zero water cooling

Standard

Data sovereignty

Sovereign-by-design;

local jurisdiction

Bolt-on solutions

Strong Commercial Traction

Antimatter enters the market as a cash-flow positive entity with demonstrated commercial momentum:

US$20 million in current annual revenueUS$4 million in EBIT4,500 GPUs deployed with demand for 10,000+100 Policlouds being deployed in 2026, representing 40,000+ GPUs1,000 Policlouds planned by end of 2030, representing 400,000+ GPUsDiversified customer base: Energy sector (35%), Public sector (30%), Agriculture (15%), Corporates (20%)

The company is targeting $250M+ in revenue within the next 18 months and $2.5B+ by the end of 2030.

Investor Perspectives

“AI infrastructure is now a strategic asset class, and the winners will be those who can combine hard assets with software at scale. Antimatter’s vertically integrated model — from megawatts to APIs — is exactly the kind of infrastructure we believe can define the next decade of digital growth.”

— Alex Manson, CEO of SC Ventures, Standard Chartered Bank

“France and Europe need sovereign, energy-efficient infrastructure to compete in AI. What convinced us about Antimatter is not just the technology, but the ability to deploy micro data centers in months, on existing power assets, while meeting the most demanding regulatory constraints.”

— Stéphanie Hospital, Founder and CEO of OneRagtime

“From Dubai, we see first-hand how emerging markets are skipping legacy infrastructure and going straight to AI-native architectures. Antimatter’s model — distributed, capital-efficient and deeply integrated with energy — is built for exactly these markets, and for the next generation of AI companies we back.”

— Noor Sweid, Founder and Managing Partner, Global Ventures

“At Inria, we work every day at the frontier of AI and high-performance computing. Antimatter’s approach is compelling because it reconciles cutting-edge AI workloads with more frugal, sustainable infrastructure — distributed, software-defined, and close to available energy. It is a strong illustration of the deeptech industrial story we want to see emerge in Europe.”

— Bruno Sportisse, Chairman and CEO of Inria

 

About Antimatter
Antimatter is the distributed neocloud for AI inference. By vertically integrating energy, modular infrastructure, and orchestration software, Antimatter deploys enterprise-grade AI compute infrastructure faster, cheaper, and more sustainably than traditional hyperscale providers. Headquartered in Cannes, France, with major operations in the United States, Antimatter serves enterprises, governments, and AI companies worldwide.

www.antimatter.com

About the Founder
David Gurlé is a French entrepreneur, engineer, and Chevalier of the Légion d’Honneur. He has founded seven companies, including Symphony Communication Services ($1.4B valuation), and held senior leadership roles at Microsoft (where he founded the Real-Time Communications business), Thomson Reuters, and Skype (VP & General Manager, Enterprise). He holds an MSc in Computer Science and Telecommunications from EFREI Paris.

Media Enquiries:
Strategic Financial Relations Limited

Angelus Lau

Tel: (852) 2864 4805

Email: angelus.lau@sprg.com.hk

Corinne Ho

Tel: (852) 2114 4911

Email: corinne.ho@sprg.com.hk

Angela Shen

Tel: (852) 2864 4870

Email: angela.shen@sprg.com.hk

Ariane Forgues

Email: aforgues@mantu.com

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Cboe Clear U.S. Receives SEC Approval to Expand Clearing Capabilities

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SEC registration enables Cboe Clear U.S. to clear binary securities options alongside futures, positioning it to support innovation across the market

CHICAGO, Oct. 23, 2026 /PRNewswire/ — Cboe Global Markets, Inc. (Cboe: CBOE), a leading global markets operator and pioneer in equity and index derivatives, today announced that Cboe Clear U.S., LLC (CCUS) has received temporary registration from the U.S. Securities and Exchange Commission (SEC) to operate as a Covered Clearing Agency.

The registration expands CCUS’s clearing capabilities beyond its existing authorities as a Commodity Futures Trading Commission (CFTC)-registered Derivatives Clearing Organization (DCO) to clear securities products in addition to futures and swaps products. Together with recent enhancements to its regulatory framework and product scope, the milestone positions CCUS to support innovation and emerging opportunities across a broad range of assets and markets.

CCUS will initially use its SEC registration to clear Cboe’s binary securities options tied to specified corporate key performance indicators (KPIs), which are planned to list on Cboe Options Exchange and be available on Robinhood in the fourth-quarter 2026. CCUS also recently received CFTC approval to clear margined futures broadly and continues to clear digital asset derivatives under its DCO designation.

“Clearing plays a critical role in bringing innovation to market,” said Dale Michaels, Head of Cboe Clear U.S. “These expanded capabilities position Cboe Clear U.S. to become an innovation lane to support new products and meet evolving customer needs, while maintaining the rigorous risk management standards that are fundamental to our business.”

These efforts complement Cboe’s longstanding partnership with The Options Clearing Corporation (OCC)® and Cboe’s continued commitment to supporting the established clearing infrastructure for traditional equity options.

The development builds on the growth of Cboe’s established European clearing business, where Cboe Clear Europe has become the leading pan-European equities central counterparty, while expanding into new services such as securities financing transaction clearing. Together, these advances demonstrate Cboe’s ability to extend its clearing capabilities across markets and asset classes.

To support its own future growth, CCUS has strengthened its infrastructure over the past year, including electing in June to become a Subpart C DCO. In doing so, CCUS is voluntarily adopting the enhanced standards the CFTC applies to systemically important DCOs for financial resources, risk management and operational resilience, aligning with those applied to leading global clearing organizations.

About Cboe Global Markets

Cboe Global Markets (Cboe: CBOE) is a leading global markets operator with a long history of innovation in equity and index derivatives. Since launching the world’s first listed options exchange in 1973, Cboe has pioneered landmark products, including the introduction of S&P 500® index options and the creation of the VIX® Index, the world’s leading gauge of market volatility, reshaping how investors manage risk and access opportunity. Today, Cboe operates derivatives, equities, and FX markets, providing trading, clearing, and investment solutions for customers worldwide. To learn more, visit www.cboe.com.

Cboe Media Contacts

 

Cboe Analyst Contact

 

Angela Tu

+1-646-856-8734

atu@cboe.com

Tim Cave

+44 (0) 7593-506-719

tcave@cboe.com

Kenneth Hill, CFA

+1-312-786-7559

khill@cboe.com

CBOE-C
CBOE-OE

Cboe®, Cboe Global Markets®, and VIX ® are registered trademarks or service marks of Cboe Exchange, Inc and S&P 500® is a registered trademark of Standard & Poor’s Financial Services LLC. All other trademarks and service marks are the property of their respective owners. 

Cautionary Statements Regarding Forward-Looking Information

This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995 that involve a number of risks and uncertainties. You can identify these statements by forward-looking words such as “may,” “might,” “should,” “expect,” “plan,” “anticipate,” “believe,” “estimate,” “predict,” “potential” or “continue,” and the negative of these terms and other comparable terminology. All statements that reflect our expectations, assumptions or projections about the future other than statements of historical fact are forward-looking statements. These forward-looking statements, which are subject to known and unknown risks, uncertainties and assumptions about us, may include projections of our future financial performance based on our growth strategies and anticipated trends in our business. These statements are only predictions based on our current expectations and projections about future events. There are important factors that could cause our actual results, level of activity, performance or achievements to differ materially from those expressed or implied by the forward-looking statements.

We operate in a very competitive and rapidly changing environment. New risks and uncertainties emerge from time to time, and it is not possible to predict all risks and uncertainties, nor can we assess the impact of all factors on our business or the extent to which any factor, or combination of factors, may cause actual results to differ materially from those contained in any forward-looking statements.

Some factors that could cause actual results to differ include: the loss of our right to exclusively list and trade certain index options and futures products; economic, political and market conditions; compliance with legal and regulatory obligations; price and new products and services competition and consolidation in our industry; decreases in trading or clearing volumes, market data fees or a shift in the mix of products traded on our exchanges; legislative or regulatory changes or changes in tax regimes; our ability to protect our systems and communication networks from security vulnerabilities and breaches; our ability to attract and retain skilled management and other personnel; increasing competition by foreign and domestic entities; our business and operational dependence on and exposure to risk from third parties; factors that impact the quality and integrity of our and other applicable indices; our ability to manage our global operations, growth, and strategic acquisitions, wind downs, divestitures, or alliances effectively; increases in the cost of the products and services we use; our ability to operate our business without violating the intellectual property rights of others and the costs associated with protecting our intellectual property rights; our ability to minimize the risks, including our credit, liquidity, market, investment, counterparty, and default risks, associated with operating our  clearinghouses; our ability to accommodate trading and clearing volume and transaction traffic, including significant increases, without failure or degradation of performance of our systems; misconduct by those who use our markets or our products or for whom we clear transactions; challenges to our use of open source software code; our ability to meet our compliance obligations, including managing our business interests and our regulatory responsibilities; the loss of key customers or a significant reduction in trading or clearing volumes by key customers; damage to our reputation; the ability of our compliance and risk management methods to effectively monitor and manage our risks; restrictions imposed by our debt obligations and our ability to make payments on or refinance our debt obligations; our ability to maintain an investment grade credit rating; impairment of our goodwill, long-lived assets, investments or intangible assets; the accuracy of our estimates and expectations; and litigation risks and other liabilities. More detailed information about factors that may affect our actual results to differ may be found in our filings with the SEC, including in our Annual Report on Form 10-K for the year ended December 31, 2025 and other filings made from time to time with the SEC.

We do not undertake, and we expressly disclaim, any duty to update any forward-looking statement whether as a result of new information, future events or otherwise, except as required by law. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date hereof.

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SOURCE Cboe Global Markets, Inc.

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Hears Everything, Uploads Nothing: VoxNexus Launches Android’s First Low-Power On-Device Always-On Voice Artificial Intelligence (AI)

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VoxNexus’ new on-device ambient listening solution runs for 12 hours on 2.49% of a phone’s battery and never sends audio to the cloud

MADRID, Oct. 23, 2026 /PRNewswire/ — VoxNexus (www.VoxNexus.ai) released VoxEdge, an on-device voice stack that brings speech recognition, translation and speech synthesis to affordable Android devices, entirely offline. VoxEdge supports speech recognition in 36 languages, translation in 103 languages, and speech synthesis in 45 languages—all running with no connection, no data bundle, and no cloud token bills.

AI should work for everyone, not just for speakers of a handful of mainstream languages. Yet across much of Africa, voice AI has been held back by scarce training data and the lack of targeted fine-tuning. Everyday speech also includes code-switching and dialect variation, while cloud-based inference costs can make deployment at scale expensive. 

VoxNexus’s solutions run entirely on device, and every query is free once the model is installed on the device. Its speech recognition model has as few as 65 million parameters and achieves a lower word error rate than open-source models nearly ten times its size.

“Under-resource languages aren’t small languages. Hundreds of millions of people speak them. Until now, AI models just haven’t learned them yet,” said Charles Shi, CEO of VoxNexus.

VoxNexus also launched VoxSense, an on-device ambient listening solution that uses only 162 mAh for 12 hours of continuous listening, around 2.5% of a 6,500 mAh phone battery. By keeping all processing on device, VoxSense makes always-on listening practical without draining the battery and without sending any audio to the cloud. Developers and device makers can easily integrate it through a license and a simple SDK. Developers can request a free trial here: www.VoxNexus.ai.

VoxSense and VoxEdge were unveiled at the MediaTek Dimensity 9600 launch in Madrid on October 19.

Distributed by APO Group on behalf of VoxNexus AI. 

About VoxNexus:
VoxNexus builds AI that hears and speaks — for everyone, everywhere, all the time. Its audio intelligence runs entirely on-device, delivering low latency, built-in privacy, and zero token cost across any device with a chip. VoxNexus is headquartered in Singapore. Website: www.VoxNexus.ai. Contact: public@voxnexus.ai  

VoxNexus demonstrates live on-device speech recognition at the MediaTek Dimensity 9600 launch in Madrid on Oct. 19, 2026. Spanish and English conversations were transcribed in real time on the phone, with no cloud connection. (Photo: VoxNexus) 

Speaks Your Language, No Internet Needed: VoxNexus Brings On-Device Voice Artificial Intelligence (AI) in 100+ Languages to Affordable Android Devices

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SOURCE VoxNexus AI

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team.blue extends €1.1 billion of its Term Loan B to 2032 in the largest software Euro term loan issuance in the last 12 months

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GHENT, Belgium, Oct. 23, 2026 /PRNewswire/ — team.blue, a leading pan-European provider of digital solutions for small and medium-sized businesses (SMBs) backed by Hg, CPP Investments and Sofina, today announces the successful pricing of an amendment and maturity extension for €1.1 billion of its existing €1.35 billion Term Loan B. The transaction priced on 22 October 2026, with the refinanced tranche extended from September 2029 to July 2032, reinforcing the Company’s prudent capital structure approach.

Strong demand from a broad group of institutional investors enabled team.blue to upsize the transaction twice in-market, taking the final deal size to €1.1 billion from a minimum initial launch size of €500 million, despite recent credit market volatility. Pro forma for the transaction, c.90% of team.blue’s term debt now matures in 2032.

The transaction comes at a time of significant momentum for team.blue, with continued double-digit revenue growth and strong cash generation supporting its deleveraging trajectory. Its products help Europe’s SMBs get online, get customers, get paid and stay compliant, and AI-enabled products are increasingly driving new customer growth. team.blue continues to innovate across its portfolio, from smarter tools within its brands to secure European cloud hosting built for customers’ growing AI workloads. Its category-leading SaaS brands are also integrating with leading AI assistants, bringing team.blue’s products to customers wherever they work.

Transaction highlights

The largest software Euro term loan issuance in the last 12 months€1.1 billion Term Loan B, borrowed by team.blue Finco S.à r.l., maturing July 2032Priced at E + 425bps with a 0% floor and an OID of 98.5Upsized twice from an initial €500 million, reflecting a heavily oversubscribed order bookCorporate and facility ratings of B3 (Moody’s) and B (S&P), both with stable outlooksBofA acted as Global Coordinator and Left Lead Physical Bookrunner, alongside Barclays. ABN AMRO, BNP Paribas, Citi, ING and J.P. Morgan acted as Bookrunners

Jonathan Thackray, Chief Financial Officer of team.blue, said:
“We set out to extend €500 million of our Term Loan B, and the depth of support from our institutional investor base allowed us to go much further. This reflects confidence in team.blue’s highly recurring, cash-generative model and our position as a leading digital partner for Europe’s SMBs. It gives us the flexibility to keep innovating and investing in the digital and AI-enabled tools our customers rely on.”

About team.blue
team.blue is the pan-European digital partner for small and medium businesses, serving more than 3.5 million customers in 24 countries. From web hosting, domains, email and cloud and AI infrastructure to e-commerce, engagement, payments and compliance tools, team.blue helps SMBs get online, get customers, get paid and stay compliant. Supported by more than 4,000 employees, team.blue’s vision is to make online business success simpler, with artificial intelligence at every step. 

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