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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

Logo – https://mma.prnewswire.com/media/2960572/Antimatter_Logo.jpg

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Introhive Makes Relationship Intelligence Available to Enterprise AI Through MCP

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Now generally available to all Introhive customers, the standards-based connection brings continuously updated relationship context into compatible AI assistants.

FREDERICTON, NB, Aug. 25, 2026 /PRNewswire/ — Introhive today announced the general availability of its MCP (Model Context Protocol) Server for all customers. The Introhive MCP Server gives firms a standardized way to connect their relationship intelligence to their AI infrastructure. Professionals can then query that intelligence directly, without switching systems or performing manual lookups, and without needing IT to build custom integrations.

Centralizing enterprise data is only part of the work. For firms building their own AI tools, the difficulty often emerges after the initial connection. Activity data must still be resolved to the correct people and companies, evaluated for relationship strength and recency, and kept current as interactions change. Without that work, an AI tool can be technically connected and still provide poor guidance. Introhive has built and continuously maintains that relationship-intelligence layer. The MCP Server makes it available to compatible AI assistants, agents, and internally developed applications.

Ask which contacts at an upcoming event are worth prioritizing. Find out which key account has gone quiet. Surface which colleague has the warmest path into a new client or expanded opportunity. Or help a firm’s own AI tool assess whether a proposed client introduction is actually warranted — instead of guessing from CRM fields nobody has updated in months.

Most firms are deploying AI without access to one of their most valuable assets: the context around firm-wide relationships. The signals exist across emails, calendars, contact histories and individual experience. Raw activity alone cannot tell an AI tool whether it has identified the correct person, how strong or current a relationship is, or who within the firm has the most credible path forward.

The Introhive MCP Server Advantage

For more than 14 years, Introhive has refined its approach to capturing, validating, and scoring those relationship signals. The platform goes beyond who knows whom; it evaluates factors including the recency, frequency, reciprocity, breadth, and depth of interactions across the firm, then organizes them into a continuously updated, firm-wide relationship graph.

Because MCP is an open standard, firms using the MCP Server can make the same relationship-intelligence layer available to multiple compatible tools rather than rebuilding a separate connection each time their AI environment changes. Unlike a custom API that locks relationship intelligence to a single tool, the MCP Server is model-agnostic by design: the graph doesn’t depend on which AI assistant wins next year, because it was never built into just one of them.

AI Can’t Drive Growth Without Relationship Context

As AI assistants become a more common interface for professional work, the quality of their answers increasingly depends on the intelligence underneath them. For professional services firms, relationships are central to winning new business, expanding client work and protecting important accounts.

The shift toward AI does not reduce the value of those relationships. It raises the cost of not having accurate relationship context available when growth decisions are made.

“I’ve watched enterprise technology evolve since the 1990s, but the shift now underway is more fundamental,” said Lee Blakemore, CEO of Introhive. “The way professionals interact with data and systems has been revolutionized, and the interface is wherever the professional happens to work, which means the intelligence layers underneath it create the value. Relationship intelligence is one of those foundational layers. A meaningful AI strategy must tap into the strength, reach, and trajectory of client relationships. Introhive’s MCP Server provides a secure, compliant, and portable way to make that intelligence available to compatible AI tools at the moment it’s needed. For organizations adopting AI responsibly, this is the infrastructure that helps them do so securely.”

Availability

The Introhive MCP Server is now generally available to all Introhive customers, expanding beyond the legal-sector commercial preview introduced in April 2026.

For more information, visit https://www.introhive.com/introhive-mcp/.

About Introhive

Introhive is the Relationship Intelligence Platform purpose-built for legal, accounting, consulting and built-environment firms. Introhive automatically captures, enriches and activates relationship data, turning emails, meetings and interactions into measurable relationship capital: the collective value of every client, prospective client, alumni and referral relationship across the firm.

Because that data is captured continuously and kept current without manual effort, Introhive gives professionals and AI tools the reliable, timely context they need to identify the right connections and support firm growth. Introhive is trusted by 20 of the world’s top 100 law firms and 36 of the top 100 accounting firms, with users in more than 90 countries.

For more information, visit https://www.introhive.com/.

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SOURCE Introhive

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Fins Adds Benzinga’s Premium US Equities Newsfeed to Power FinScores

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Premium US Equities Newsfeed gives Fins’ AI engine faster, higher-quality signal

DETROIT, Aug. 25, 2026 /PRNewswire/ — Benzinga, a leading provider of real-time financial news and market intelligence, today announced that Fins has added Benzinga’s Premium US Equities Newsfeed to its platform.

Fins is built around surfacing the market-moving signal inside the news noise. A fast, high-quality equities newsfeed is the raw fuel for that engine, giving Fins sharper and faster FinScores. Each FinScore assigns a numeric, ticker-specific score to a news event’s likely market impact, paired with AI-generated reasoning and tracked against real price movement after the news breaks.

The addition reflects Benzinga’s broader mission to democratize financial information, putting institutional-grade market intelligence directly into the hands of everyday investors. Fins represents a new generation of AI-native apps built on that same idea.

“Retail investors don’t only want more news. They want to know which headlines actually matter,” said Michael Saad, AI Licensing Lead at Benzinga. “Fins is built around that idea, and we’re glad to be the newsfeed powering it.”

“The best investment decisions begin with trusted information,” said Mehmet Kağan Aydoğan, Founder & CEO of Fins. “At Fins, our mission is to become the trusted destination for reliable financial news. Our partnership with Benzinga enables us to deliver high-quality financial news, while Fins provides the context that helps investors understand why each story matters.”

Benzinga’s Premium US Equities Newsfeed delivers fast, high-quality coverage across U.S. equities, giving platforms like Fins the raw material to build sharper analysis and scoring tools on top of real-time market data.

About Benzinga

Benzinga is a leading financial media and data technology company that empowers investors with high-quality, real-time market intelligence. Through its news platform, APIs, and data products, Benzinga provides traders, financial institutions, and fintech platforms with the insights they need to make smarter investment decisions. From breaking news and analyst ratings to corporate events and alternative datasets, Benzinga’s tools help market participants stay ahead of the information that drives price movement.

To learn more, visit benzinga.com/apis.

About Fins

Fins is an AI-driven financial intelligence platform that helps investors understand not just what is happening in the markets, but why it matters. By combining trusted financial news with AI-powered event classification and the mathematical FinScore Engine, Fins transforms complex market information into clear, actionable insights. Instead of simply aggregating headlines, Fins identifies the companies affected, classifies each event into standardized market categories and evaluates its potential market relevance through a transparent mathematical scoring model. With personalized news feeds, real-time alerts and contextual analysis, Fins enables investors to make faster, more informed decisions with confidence.

To learn more, visit fins.news.

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SOURCE Benzinga

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Amity Global Research Hub Launches in New York to Boost India-US Innovation

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The Amity Global Research Hub (AGRH) is a multidisciplinary international platform established by Amity University to foster world-class research collaboration, innovation, entrepreneurship, technology commercialization, and policy engagement across global ecosystems. AGRH enables collaborative research that addresses pressing global challenges while creating opportunities for scientific discovery, economic development, and societal transformation.

NEW YORK, Aug. 25, 2026 /PRNewswire/ — In a significant step towards strengthening India–United States collaboration in science, technology and innovation, the Amity Global Research Hub (AGRH) was inaugurated at the Consulate General of India, New York, on August 21, 2026, under the theme “Shaping the Future through Emerging Technologies.”

Amity Global Research Hub Launched in New York to Strengthen India–US Research and Innovation Partnerships

The launch marks the beginning of an international research platform envisioned to bring together academic institutions, researchers, industry, innovators and other stakeholders from India, the United States and the wider global ecosystem. The initiative aims to facilitate collaborative research, promote knowledge exchange and create new pathways for innovation and technology-led solutions to global challenges.

The inauguration also witnessed the unveiling of the AGRH website and research brochure, followed by panel discussions focusing on multi-sector partnerships, research, innovation, emerging technologies, and opportunities for strengthening India–US collaboration. The discussions brought together distinguished representatives and academic and research stakeholders from institutions including Rutgers University, Georgia Institute of Technology, CUNY, Long Island University, Albert Einstein College of Medicine and the National Cancer Institute.

Speaking on the occasion, Dr. Aseem Chauhan, Chancellor, Amity University and Chairman, AGRH, highlighted the importance of creating globally connected research ecosystems that can address increasingly complex technological and societal challenges. AGRH is envisioned as more than an international academic presence. It seeks to function as a bridge connecting the research strengths, talent and innovation capabilities of India with the extensive academic, scientific, technological and entrepreneurial ecosystem of the United States.

The initiative comes at a time when emerging technologies are rapidly transforming economies and societies, creating both new opportunities and complex challenges. Technologies such as artificial intelligence, quantum technologies, advanced materials, biotechnology, healthcare technologies, cybersecurity, space technologies and clean and sustainable technologies increasingly require interdisciplinary and international collaboration.

Dr. Sandeep Mittan Director Amity Global Research Hub & Vice President Research and Development highlighted how AGRH will serve as a platform to foster international research partnerships and advance innovation through collaboration between India and the United States. This initiative will be the creation of opportunities for young researchers, students and innovators to participate in international research networks.

AGRH aims to contribute to this process by facilitating interactions among researchers and institutions and supporting opportunities for knowledge exchange and collaborative engagement. The Hub’s broader vision is to create meaningful opportunities not only for established researchers but also for emerging scientists, innovators and entrepreneurs.

The establishment of AGRH in New York provides access to one of the world’s most diverse and dynamic ecosystems of universities, research institutions, technology companies, healthcare organizations, investors, start-ups and global talent. This environment provides significant opportunities for building connections between Indian researchers and their counterparts in the United States. The launch event itself reflected this potential, bringing together representatives from leading American academic and research institutions for discussions around collaborative research and innovation.

Prof. (Dr.) W. Selvamurthy, President, Amity Science, Technology & Innovation Foundation, emphasized the importance of collaboration in shaping the next generation of research and innovation. The multidisciplinary approach of AGRH is particularly significant as many of today’s major challenges cut across traditional academic boundaries. Addressing issues related to health, climate change, energy, advanced manufacturing, digital technologies and national and global security requires researchers from multiple disciplines to work together. The Hub therefore aims to facilitate an ecosystem in which ideas can move from research and discovery to innovation, technology development and societal impact.

Strengthening the India-US Knowledge Partnership : The launch of AGRH also comes against the backdrop of the expanding strategic relationship between India and the United States in science, technology, education and innovation. The initiative’s emphasis on multi-sector partnerships is particularly significant. Rather than limiting collaboration to academic institutions, AGRH aims to create connections involving research organizations, industry, innovators, entrepreneurs and other stakeholders.

The inauguration of AGRH represents an important milestone in Amity’s continued efforts to expand its international research partnerships and strengthen collaboration between India and the United States. The long-term ambition is to develop AGRH into a platform where global research partnerships can generate tangible outcomes-ranging from collaborative research and knowledge exchange to technology development, innovation, entrepreneurship and opportunities for the next generation of researchers.

With its launch in New York, the Amity Global Research Hub seeks to position itself at this intersection-connecting India’s growing research and innovation capabilities with global opportunities, and contributing to a future shaped by collaboration, technology and knowledge.

Learn more about Amity Global Research Hub at https://amity.edu/agrh/

Dr. Sandeep Mittan, PhD , FAHA

Director Amity Global Research Hub

Vice President Research and Development

Amity Education Group Long Island Campus, New York

500 Montauk Hwy, Oakdale, NY 11769

Executive Board Member New Jersey Academy of Science (NJAS), New Jersey

Research Scholar – National Institute of Health-NIH,MD 20892

Email : smittan@amity.edu

M: +16467023447

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SOURCE Amity University

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