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The world's first vertically integrated neocloud for AI inference
Antimatter brings together Data Factory, Policloud, and Hivenet to combine energy, modular micro data centers, and orchestration software in one distributed infrastructure model for the AI era.
Operating today, April 21, 2026:
0
Policlouds
0
Sites
0
GPUs
0
+ MW
Operational
0
GW+
Power secured
By 2030
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Policlouds
0
+
Sites
0
+
GPUs
0
+ MW
Fully operational
Executive summary
Antimatter is building distributed AI infrastructure around a constraint that is becoming harder to ignore: energy. As AI moves from training a small number of large models to serving inference across daily applications, infrastructure needs to be faster to deploy, more resilient, and better aligned with local power availability.
Launched through the strategic combination of Data Factory, Policloud, and Hivenet, Antimatter integrates three layers in one model: energy access and optimization, modular micro data centers, and software orchestration. The goal is to expand AI compute capacity by placing infrastructure where energy is available and coordinating it as a distributed system.
"In the age of AI, intelligence is not the bottleneck. Energy is. The world now needs a more adaptive and flexible infrastructure for artificial intelligence — one that is distributed rather than centralized, resilient by design, and far more responsible in its use of energy and resources."
— David Gurlé, Co-founder, Executive Chairman & CEO, Antimatter
Why distributed infrastructure wins.
AI is entering a more operational phase. As the market shifts from training large foundation models to running inference across real-world applications, the infrastructure question changes. The pressure is no longer only about raw scale. It is also about deployment speed, resilience, energy access, and the ability to place compute closer to actual use.
The infrastructure built for the first phase of cloud and AI was designed for centralized scale: large facilities, concentrated capacity, and long construction cycles. That model still matters, but it is under growing pressure from grid constraints, slower build timelines, and increasing demand for more control over where compute and data are handled. Antimatter is built as a distributed alternative that can be deployed faster and adapted more easily to local energy and infrastructure conditions.
Two structural constraints
Two compounding constraints — and the reason centralized infrastructure cannot adapt.
Energy
The grid is the bottleneck.
The global data center capacity market is projected to grow from 55 GW in 2023 to 220 GW by 2030 (22% CAGR), yet grid connection queues and infrastructure delays are the primary bottleneck. In Europe alone, more than 12 TWh of renewable electricity were curtailed in 2023 — over €4.2 billion in lost value. Over 1,000 GW of additional renewable capacity remains stuck in permitting and grid-connection queues across Europe and the GCC.
Resilience
Concentration becomes risk.
As computing capacity becomes more concentrated, the infrastructure behind it becomes more exposed to operational, geopolitical, and sovereignty risks. Regulated industries and public sector actors are paying closer attention to where infrastructure sits, how it can be deployed, and how failure in one location affects the wider system. A distributed architecture offers a different resilience profile by avoiding overdependence on a small number of large sites.
A full-stack neocloud built for AI inference.
Antimatter is the only neocloud that controls the complete value chain.
Smart energy layer
More than 1 GW+ of secured power, including 26+ MW already operational across Texas and Oregon. Ability to tap into excess renewable electricity representing 1,000+ GW currently stranded across the EU and GCC. Units deployed directly at existing power assets — wind, solar, hydro, biogas.
Decentralized infrastructure
Fleet of modular, containerized micro data centers, each housing up to 400 GPUs. Deployable in ~5 months vs. 24+ months for hyperscale. Currently operates 10 units across 8 sites on launch day, backed by 1 GW+ secured across the group. Pipeline of 500+ additional units.
Distributed software
Proprietary distributed computing and storage platform. Orchestrates distributed hardware into a single sovereign cloud fabric. Global default Tier 3 capability. Full data sovereignty for regulated industries. 500,000+ users worldwide.
Deployment roadmap.
2026
In operation
Policlouds
10
Sites
8
GPUs
3,400
Operational power
26+ MW
2027
Yer one - funded
Policlouds
100
Sites
20+
GPUs
30,000+
Operational power
160+ MW
2030
Fully operational
Policlouds
1,000
Sites
100+
GPUs
300,000+
Operational power
1 GW+
Across the four-year path, Antimatter's network moves from 26+ MW operational today to 1 GW+ fully operational by 2030 — the build-out of the 1 GW+ already secured across the US, Europe, and the GCC.
Competitive advantages
Swipe left to see more
Key differentiators
5x greater capital efficiency
vs. hyperscale data centers — enabling faster returns on invested capital.
Hard-asset backed:
26+ MW operational today. 1 GW+ of power secured (under contract and pipeline). 10 Policloud units on launch day. 500+ units in commercial pipeline.
Inference is the market:
60%+ of AI compute spend. Agentic workloads generate up to 50× more tokens per task (industry estimates, 2025).
Investor and partner 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 the founder.
David Gurlé — Co-founder, Executive Chairman & CEO, Antimatter; CEO, Policloud.
David Gurlé is a serial entrepreneur and recognized pioneer in the global technology industry. With a track record combining strategic vision, large-scale execution, and disruptive innovation, he has founded seven companies across telecommunications, fintech, and technology infrastructure.
His most notable company is Symphony Communication Services, which he founded and scaled to a $1.8 billion valuation. Symphony is backed by JPMorgan, Goldman Sachs, Deutsche Bank, Citadel, and other leading financial institutions.
Before his entrepreneurial ventures, David shaped the future of unified communications at the world's largest tech companies. At Microsoft, he founded and led the Real-Time Communications business (today's Microsoft Teams), serving as a direct advisor to Bill Gates. He then joined Skype as Vice President and General Manager of the Enterprise Business, and later served as Global Head of Collaboration Services at Thomson Reuters.
Current roles & recognition
Ambassador to France 2030 (France's €54 billion strategic sovereign investment initiative)
Member, Brain Trust at Standard Chartered Ventures
International Technology Advisor to the Monetary Authority of Singapore (MAS)
Chevalier de la Légion d'Honneur (Knight of the Legion of Honor), awarded 2020
MSc in Computer Science and Telecommunications, EFREI Paris
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.
Press assets.
Current roles & recognition
Company name: Antimatter
Founder: David Gurlé (preferred spelling, with accent)
Headquarters: Cannes, France
Boilerplate (one paragraph, copy-paste):
Antimatter is the world's first vertically integrated neocloud for AI inference, combining Data Factory (energy), Policloud (modular data centers), and Hivenet (distributed cloud software). Headquartered in Cannes, France, with operating infrastructure across the US, Europe, and the GCC.
