Cloudberry Ventures Raises €50M for AI & Deep Tech

Cloudberry Ventures Closes €50M Fund to Power AI, Compute & Infrastructure Startups

In one of the most closely watched moves in the European deep tech investment space, London-based venture capital firm Cloudberry Ventures has officially announced the close of its brand-new €50 million fund, signalling a decisive bet on the technologies that will underpin the global economy for generations to come. This latest AI funding development is drawing significant attention from startup ecosystems across Europe, North America, Asia, and Australia — regions where the firm intends to actively deploy capital. At a time when artificial intelligence is no longer simply a software-layer phenomenon but an architecture that demands robust physical and digital infrastructure, Cloudberry Ventures is positioning itself as one of the most deliberate and forward-thinking investors in the space.

The firm, helmed by founding partner Mahir Sahin, has carved a niche that most generalist venture funds are yet to fully explore. Rather than chasing the obvious wave of consumer AI applications or large language model developers, Cloudberry is doubling down on the foundational layers — compute infrastructure, industrial systems, and financial rails — that make all AI-powered innovation possible in the first place. This is exactly the kind of AI funding news that the global tech community needs to be paying attention to, because it highlights a growing recognition among sophisticated investors that sustainable AI growth must be built from the ground up.

The new €50 million fund will back companies from the Seed stage through to Series A, with ticket sizes ranging from €1 million to €2 million per investment. This focused allocation strategy ensures that Cloudberry can maintain meaningful ownership stakes while supporting teams at the most critical and formative phase of their development — well before growth-stage capital transforms the dynamics of a company entirely.

A Strategic Vision Rooted in Deep Tech

What separates Cloudberry Ventures from the expanding universe of AI-focused venture firms is its deeply considered investment thesis. Rather than spreading capital broadly across the AI landscape, the fund zeroes in on companies operating in regulated and mission-critical sectors. These are not the startups building productivity tools or chatbot wrappers. These are teams developing patented hardware, data-driven software platforms, and infrastructure systems with formidable barriers to entry — companies whose competitive moats are measured not in lines of code but in years of research and development, regulatory approvals, and irreplaceable physical assets.

Ehsanul Islam, who serves as both VP of Engineering at Qualcomm and VP at Cloudberry Ventures, gave voice to this philosophy with remarkable clarity when speaking about the fund's direction. He noted that intelligent robotics, autonomous systems, and coordinated machine fleets are no longer speculative or experimental — they have already become the foundational layer upon which modern industrial operations are built and scaled. His perspective reinforces a central conviction at Cloudberry: that the infrastructure being assembled today will shape the trajectory of the industrial economy not just for the next decade, but for several decades to come. For anyone tracking AI funding news globally, this statement carries substantial weight. It reflects a broader industry shift where capital is moving away from hype-driven bets and toward long-term infrastructure plays that are harder to build but far more durable once established.

The fund is particularly interested in startups that address what Cloudberry's team describes as "large, durable problems" — challenges that do not disappear with shifts in market sentiment but instead grow in importance as the world's dependency on digital and physical infrastructure deepens. This is the philosophical cornerstone of the fund, and it distinguishes Cloudberry's AI funding strategy from the short-termism that has historically characterised portions of the venture capital industry.

Three Pillars That Define the Investment Thesis

Cloudberry Ventures has structured its investment focus around three core pillars, each representing a critical dimension of the infrastructure that tomorrow's AI-powered world will require. Understanding these three verticals provides a window into how the firm thinks about value creation and where it believes the most significant opportunities lie over the coming decade.

The first pillar is Industrial Infrastructure. This vertical encompasses some of the most complex and capital-intensive areas of the modern economy, including advanced materials research, next-generation energy systems, circular economy models, and autonomous manufacturing technologies. As global supply chains continue to wrestle with the effects of geopolitical disruption and the accelerating push toward decarbonisation, companies building the physical and operational backbone of industrial systems stand to benefit enormously. The AI funding flowing into this space reflects a conviction that the factories, energy grids, and logistics networks of the future will not simply be automated — they will be intelligent, self-correcting, and deeply connected to digital ecosystems in ways that demand new infrastructure from the ground up.

The second pillar is Financial Infrastructure. Cloudberry sees a generational opportunity in the reinvention of how money moves around the world. The firm is particularly interested in blockchain-enabled cross-border settlement systems, novel financing mechanisms, and digital asset infrastructure. These are not speculative crypto plays — they represent a fundamental rethinking of the plumbing that underlies global commerce. As regulatory frameworks around digital finance continue to mature across Europe and other key markets, startups building compliant, scalable financial infrastructure are entering a window of significant opportunity. This is a dimension of AI funding news that often gets overshadowed by flashier headlines, but the underlying market dynamics are compelling.

The third pillar is Compute Infrastructure. This is perhaps the most immediately resonant with current headlines in the AI world. Cloudberry's focus here spans next-generation memory systems, quantum computation, photonics, and Edge AI — the technologies that determine how much computational power is available, how efficiently it can be deployed, and where in the world it can reach. As AI models grow larger and more complex, and as inference demands push computation closer to the point of use, the companies solving fundamental compute challenges will become indispensable to every other player in the ecosystem. For The AI World Organisation, which tracks and amplifies the most significant developments across global AI ecosystems, the AI funding news coming from Cloudberry's compute-focused investments is among the most strategically significant of the year.

A Portfolio That Already Speaks for Itself

Cloudberry Ventures is not arriving at this €50 million fund as a first-time actor. The firm has already assembled a portfolio that reads like a who's who of cutting-edge deep tech, and the performance of its predecessor vehicle offers compelling evidence that its approach is working. Before launching this new fund, Cloudberry operated through its earlier investment vehicle, Cloudberry Pioneer Investments — commonly referred to as CPI. In just sixteen months of operation, CPI delivered an extraordinary 86% Gross Internal Rate of Return and a 2.4x Multiple on Invested Capital. These are numbers that place Cloudberry firmly among the top-performing early-stage investors in the European ecosystem, and they validate the team's ability to identify, back, and add value to deep tech companies at the earliest stages.

The existing portfolio is a testament to the breadth and quality of Cloudberry's deal flow. Companies such as Quantum Brilliance, which is currently raising capital for its Series B round and has built what is recognised as the largest quantum production line in Europe, represent exactly the kind of foundational technology bets that define Cloudberry's approach. Keyrails, another portfolio company, is addressing the financial infrastructure layer with technology designed to modernise how assets and value flows are tracked and transferred. Hydgen is tackling the energy transition with innovative hydrogen generation technology, while Syntiant Corp. is a recognised leader in Edge AI — building neural processing units that bring AI inference directly to the edge of networks without requiring cloud connectivity.

Other portfolio names including RootCause.ai, Matoha, HYDGEN, Fisent Technologies, Arf, Belfort, and Voltai further illustrate the diversity and depth of Cloudberry's investment landscape. Each of these companies is operating at the intersection of artificial intelligence, hardware innovation, and systems engineering — exactly the kind of complex, high-barrier space where generalist investors tend to struggle but where Cloudberry has demonstrated genuine expertise and pattern recognition.

First Bet from the New Fund: Xavveo and the Photonics Frontier

The new €50 million fund has already made its first move, and it is a revealing one. Cloudberry has backed Xavveo, a Berlin-based startup that is developing 360-degree awareness systems for robotics using photonics radar technology. This investment encapsulates everything that Cloudberry's thesis is built around — a company operating at the intersection of advanced sensing, robotics, and autonomous systems, with technology that is genuinely difficult to replicate and addresses a problem that will only grow in importance as industrial automation scales globally.

Photonics radar, unlike conventional LIDAR or camera-based systems, offers distinct advantages in terms of resolution, range, and resistance to environmental interference. For robotics systems operating in industrial environments — where dust, temperature extremes, and complex geometries challenge conventional sensors — photonics-based awareness systems offer a step-change improvement in reliability and capability. Xavveo's technology sits at the heart of what Cloudberry describes as the next generation of industrial infrastructure, and the firm's willingness to make this its first deployment from the new fund signals confidence in both the technology and the team.

For those following AI funding news in Europe, this investment is particularly noteworthy. Berlin has established itself as one of the continent's most vibrant deep tech hubs, and a vote of confidence from a fund with Cloudberry's track record will likely catalyse further interest in Xavveo from co-investors and strategic partners. The investment also reflects the broader trend in AI funding where the most sophisticated capital is moving toward robotics and autonomous systems — areas where software intelligence must be tightly coupled with hardware performance in order to deliver real-world value.

What This Means for the Global AI Infrastructure Landscape

The announcement of Cloudberry Ventures' €50 million fund arrives at a pivotal moment in the global AI funding landscape. For years, the bulk of AI investment has concentrated on large foundation model developers, enterprise software platforms, and consumer-facing applications. While these remain important segments, a growing cohort of investors and analysts are recognising that the next wave of AI value creation will be determined by infrastructure — the compute fabrics, energy systems, industrial platforms, and financial rails that allow AI to operate reliably, efficiently, and at scale across the physical world.

This is a shift that The AI World Organisation has been monitoring and documenting closely across its global network of AI leaders, summit programmes, and ecosystem-building initiatives. The AI funding news flowing from firms like Cloudberry validates a perspective that The AI World Organisation has long championed: that meaningful artificial intelligence progress requires investment across the entire stack, from research and model development all the way down to the physical and digital infrastructure on which those models depend.

Cloudberry's global investment mandate — spanning Europe, North America, Asia, and Australia — also reflects an important maturation in how cross-border deep tech investment is being structured. Rather than concentrating capital in a single geography, the fund recognises that the most innovative deep tech teams are distributed across multiple continents, and that building a globally diversified portfolio is both a risk management strategy and an opportunity to access the world's best founders wherever they happen to be building.

The firm's emphasis on regulated and mission-critical sectors is equally significant. Infrastructure investments in areas like quantum computing, edge AI, and blockchain-enabled financial systems require patient capital and investors who understand the longer development timelines inherent in these domains. Cloudberry's willingness to engage deeply with such complexity — and its track record of delivering exceptional returns even within these longer cycles — positions it as a genuinely differentiated actor in the European and global venture ecosystem.

As AI funding news continues to evolve through 2026 and beyond, the trend lines are becoming clearer. Capital is flowing toward infrastructure. Deep tech is experiencing a renaissance of institutional interest. And the investors who took early, conviction-driven positions on foundational technologies are beginning to reap the rewards of their patience and expertise. Cloudberry Ventures, with its €50 million fund and a portfolio that already includes some of Europe's most ambitious deep tech companies, looks well placed to be at the centre of this story for years to come.