Executive Overview
The global quest for clean, limitless energy has long been hampered by a paradox: while brilliant physicists and engineers can dream up revolutionary ways to trap the power of the stars, they are routinely forced to reinvent the wheel when it comes to the basic operational plumbing of their machines. Nuclear fusion—the holy grail of zero-carbon power generation—promises to fundamentally reshape human civilization. Yet, the industry has historically lacked a standardized, off-the-shelf supply chain for the hardware and software required to keep volatile, superheated plasma stable.
Enter Fusionality, a Lausanne-based startup founded to solve this exact structural bottleneck. Recognizing that roughly 80% of every fusion reactor’s control architecture is fundamentally identical across disparate design schemas, co-founders Federico Felici and Jonas Buchli are building a modular suite of hardware components and simulation environments tailored specifically to the nuclear fusion sector.
The company’s official debut is backed by strong market validation: Fusionality recently closed a $3.7 million (CHF 3 million) pre-seed funding round co-led by prominent venture capital firms Founderful and Playfair. With Felici serving as Chief Executive Officer and Buchli steering the ship as Chief Technology Officer, the seven-person team is setting out to transform how experimental and commercial fusion reactors are operated. By supplying a universal "Lego-like" set of control technologies, Fusionality aims to clear one of the most persistent hurdles on the path toward commercializing fusion energy.
Detailed Chronology: From Academic Labs to Venture-Backed Innovation
The genesis of Fusionality did not happen in a traditional accelerator or a venture-backed incubator; it was forged through years of rigorous, high-level academic research and cutting-edge artificial intelligence development.
The EPFL and Google DeepMind Connection
Co-founders Federico Felici and Jonas Buchli crossed paths while tackling some of the most complex control-engineering challenges in modern physics: teaching artificial intelligence how to safely manage experimental tokamaks—donut-shaped magnetic confinement devices utilized by scientists to study nuclear fusion.
Before launching Fusionality, Felici spent significant time at EPFL (École Polytechnique Fédérale de Lausanne) in Switzerland, an institution world-renowned for housing advanced experimental tokamak infrastructure. His work focused heavily on developing real-time control physics for high-temperature plasmas. Meanwhile, Buchli was building a stellar reputation at Google DeepMind, applying advanced algorithms and robotics frameworks to complex, dynamic physical systems.
The intellectual gravity of Google DeepMind eventually drew Felici into its orbit as well. Working within the tech giant’s elite research environment, Felici specialized in developing sophisticated simulations and machine learning interfaces explicitly designed for fusion devices. This intersection of deep physics, advanced computing, and machine learning laid the groundwork for what would eventually become Fusionality.
The Pain Point and the Pivot
For years, while working alongside various fusion companies and research groups, Felici and Buchli heard a recurring, desperate refrain. As Felici recalled in discussions with industry peers, fusion developers continually voiced the same frustration:
“We would ideally buy many of the components to make our control system, but there isn’t really anybody providing them — and especially there isn’t anybody who speaks the language of fusion.”
Most fusion startups were forced to build their entire reactor control ecosystems entirely from scratch. This redundant engineering drained valuable capital, stretched engineering teams thin, and diverted precious resources away from core power-plant development.
Realizing that they had spent a collective decades-long career solving the exact problems that plague today’s emerging fusion market, Felici and Buchli recognized that the timing was ideal. In 2025, they formally incorporated Fusionality in Lausanne, Switzerland, pivoting their deep domain expertise into a commercial venture designed to supply the missing infrastructure of the fusion revolution.
Supporting Context & Metrics: The Maturing Fusion Supply Chain
Fusionality does not exist in a vacuum; it is part of a broader, rapidly maturing ecosystem of industrial suppliers, engineering firms, and hardware pioneers building the foundational supply chain for the commercial fusion industry.
The Emerging Fusion Supply Chain
For decades, nuclear fusion was strictly the domain of government-backed national laboratories and international consortiums like ITER. Today, a wave of well-funded private startups has decentralized the sector. However, building a functioning fusion power plant requires an entirely new industrial ecosystem.
The industry is roughly bifurcated into two primary types of supportive enterprises:
- Balance-of-Plant & Energy Conversion Pioneers: Companies like Kyoto Fusioneering are actively developing critical thermal-cycle and tritium-handling devices designed to bridge the gap between a fusion reactor’s engineering core and an electrical grid.
- High-Precision Specialized Manufacturers: Traditional heavy industrial and advanced manufacturing firms are shifting their skill sets to forge extreme-tolerance components, such as high-field magnets, vacuum vessels, and radiation-resistant materials.
Fusionality carves out a vital, highly specialized niche within this supply chain: the central nervous system. By focusing exclusively on the integrated hardware and software required to monitor, regulate, and control nuclear fusion reactors, the company addresses a vulnerability that other equipment providers often overlook.
The Physics of Plasma Control
To understand why Fusionality’s technology is so desperately needed, one must examine the extreme physics of nuclear fusion. Fusion power plants generate vast amounts of clean energy by forcing atomic nuclei together—typically isotopes of hydrogen like deuterium and tritium—to form helium. This reaction releases monumental amounts of energy, but it requires environments hotter than the core of the sun.
To keep these atoms colliding, scientists superheat the fuel into a state of matter known as plasma. However, plasma is inherently unstable, turbulent, and fickle. It writhes, shifts, and threatens to breach its containment fields at the slightest provocation. Maintaining the precise temperature, density, spatial shape, and fuel composition of the plasma requires split-second calculations and immediate, micro-adjustments to the reactor’s magnetic and heating systems.
If the control system fails for even a fraction of a millisecond, the plasma touches the reactor walls, quenching the reaction and potentially damaging the hardware. Developing these systems demands an elite interdisciplinary skill set that fuses plasma physics, control engineering, and high-performance real-time computing.
Official Statements & Technological Philosophy
In interviews detailing the company’s strategic roadmap, CEO Federico Felici has been clear about what Fusionality is—and is not—attempting to achieve. While the company leverages modern software architectures, it takes a pragmatic, safety-first approach toward the integration of artificial intelligence.
Debunking the "AI Silver Bullet" Myth
As artificial intelligence permeates nearly every tech sector, hype cycles often suggest that machine learning can solve any complex engineering puzzle instantly. Felici pushes back against this notion when applied to nuclear fusion reactors.
"AI will play an important role in future control systems, but I wouldn’t be somebody who advocates for AI to take the role of controlling the entire fusion reactor," Felici noted.
While machine learning models excel at pattern recognition and data processing, the catastrophic stakes of a runaway plasma event demand absolute reliability and deterministic controls. Consequently, Fusionality views AI not as a total replacement for traditional control engineering, but as a sophisticated tool used to “complement, enhance, or optimize” specific, bounded sub-systems within the wider reactor architecture.
The "Lego Block" Product Strategy
Fusionality’s immediate market focus centers on magnetic confinement fusion—the approach utilized by industry heavyweights such as Commonwealth Fusion Systems, Proxima Fusion, Realta Fusion, and Bill Gates-backed Type One Energy. Magnetic confinement uses exceptionally powerful electromagnets to shape and trap the hot plasma inside a vacuum chamber.
To serve this demanding customer base, the newly injected $3.7 million pre-seed capital will be deployed to build what Felici describes as a tightly selected number of core technologies.
"We start with a few of these blocks and then we build out more," Felici explained, using a Lego analogy to describe their modular product roadmap. "We have the ambition to serve the really wide range of technology that you need to operate a fusion reactor."
Initially, Fusionality will deliver standardized simulation environments and control modules that individual startups can easily adapt, calibrate, and fine-tune to fit the unique geometry and operational parameters of their specific reactor designs. Over time, the company intends to expand its catalog to support alternative confinement methodologies beyond magnetic setups.
Future Outlook: Paving the Way to the Grid
The broader outlook for nuclear fusion has shifted dramatically over the last half-decade. Driven by private capital injections exceeding billions of dollars, regulatory streamlining, and rapid breakthroughs in high-temperature superconducting (HTS) magnets, the timeline for commercial fusion energy has accelerated from a distant "always 30 years away" punchline to a tangible industrial horizon slated for the 2030s.
Yet, as fusion startups transition from physics experiments to commercial engineering projects, the operational pressures on their engineering teams will multiply. Designing a prototype is vastly different from operating a 24/7 baseload power plant that must meet strict nuclear regulatory standards and grid reliability metrics.
By stepping in as the universal control-system provider, Fusionality addresses a critical bottleneck that could otherwise delay the industry’s scaling ambitions. If successful, the Swiss startup will not just sell software and hardware modules; it will become the foundational operating system of the global fusion energy industry.
As the first wave of commercial pilot plants breaks ground later this decade, companies like Fusionality ensure that the engineers building humanity’s clean-energy future do not have to waste precious time reinventing the wheel—allowing them to focus entirely on what matters most: bringing the power of the stars down to Earth.
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