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The 62nd Munich Security Conference opened on 13 February 2026 in Munich, Germany, and this year’s gathering feels different from past editions. For decades, Munich was about jets, troops, and treaties. Today, cyber and AI are no longer peripheral; they are part of the architecture of security itself. Cyber risks, digital infrastructure, and emerging technologies […]
As OpenAI removed access to GPT-4o in its app on Friday, people who have come to rely on the chatbot for companionship are mourning the loss all over the world.
13/02/2026 10:10 PM
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Why top talent is walking away from OpenAI and xAI
As prediction market platforms like Polymarket and Kalshi battle regulators in court, Senate Democrats are urging the CFTC to avoid weighing in, escalating a broader fight over the burgeoning industry.
13/02/2026 08:10 PM
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13/02/2026 07:21 PM
Join Our Livestream: The Hype, Reality, and Future of EVs
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As the housing market stalls, Zillow’s CEO sees AI as “an ingredient rather than a threat” that can both help the company protect its turf and reinvent how people search for homes.
13/02/2026 05:10 PM
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Nscale secures $1.4B, Eutelsat expands with €975M, and Germany’s scale-driven ecosystem
This week, we tracked more than 65 tech funding deals worth over €3.4 billion and over 10 exits, M&A transactions, rumours, and related news stories across Europe.
Alongside the week’s top funding rounds, we’ve highlighted key industry developments, as well as notable trends in European venture activity, investor moves and emerging sectors shaping the current funding landscape.
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? Notable and big funding rounds
?? Nscale has secured a $1.4M Delayed Draw Term Loan backed by GPUs
?? Satellite operator Eutelsat secures €975M for LEO expansion
?? 25-year-old founder’s Olix nabs $220M for photonic AI inference chips to take on Nvidia
???? Noteworthy acquisitions and mergers
?? London-headquartered tech firm Reward has been acquired in a $230M deal
?? Admiral Group has acquired London insurtech Flock for £80M
?? Uber acquires Getir’s Turkish delivery business
?? Dcycle acquires ESG-X to scale sustainability data management in Europe
? Interesting moves from investors
? Elaia’s Digital Venture Fund V reaches €120M at first close
London-based deep tech startup Stanhope AI has closed a €6.7 million ($8 million) Seed funding round to advance what it calls a new class of adaptive artificial intelligence designed to power autonomous systems in the physical world. The round was led by Frontline Ventures, with participation from Paladin Capital Group, Auxxo Female Catalyst Fund, UCL Technology Fund, and MMC Ventures. The company says its approach moves beyond the pattern-matching strengths of large language models, aiming instead for systems that can perceive, reason, and act with a degree of context awareness in uncertain environments. Stanhope is developing what it terms a…
Zurich-based startup ScyAI has closed a €2
million pre-seed funding round led by AENU and co-led by PT1. The round also
includes participation from unicorn founders David Helgason (Unity), Maex Ament
and Philip Stehlik (Taulia, Centrifuge) through Anti Ordinary Ventures, as well
as Bela Lainck, Robert Levenhagen, Christoph Aufmhof and Stefanie Gerhart
through the angel investor alliance better ventures.
For manufacturers, energy producers and
other organisations with large physical asset portfolios, climate risk has
become an increasingly important operational challenge. Industry data indicates
that natural catastrophes continue to generate significant economic losses,
with a substantial share remaining uninsured.
One reason for this protection gap is that
insurance pricing is often based on broad industry categories and regional
averages rather than company-specific risk profiles. Without detailed
information on factors such as facility construction, mitigation measures or
asset separation, underwriters may apply more conservative pricing. As a
result, companies with strong risk management practices may face higher costs
or retain more risk than intended due to limited visibility into potential
coverage gaps.
In response to these challenges, ScyAI has
developed a platform that creates quantified, auditable risk profiles by
combining operational data with external hazard models. This allows
organisations to demonstrate their specific risk characteristics using metrics
aligned with those used by underwriters.
According to the company, early users of
the platform have reported reductions in insurance premiums alongside improved
coverage terms. ScyAI’s solution is aimed at organisations with significant
physical infrastructure and is designed to help address both affordability and
coverage adequacy, which contribute to the existing protection gap.
Bernhard Rannegger, founder
and CEO of ScyAI, said that physical risks are becoming a central operational
and financial issue for companies. He added that the company’s goal is to help
organisations make these risks measurable and easier to understand, enabling
risk and insurance teams to make more informed decisions.
13/02/2026 03:10 PM
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Score, the dating app for people with good credit, is back
Anthropic has just closed a $30 billion Series G funding round, pushing its valuation to $380 billion and catapulting it into the rarefied ranks of the most valuable private tech companies in the world. The financing was led by Singapore’s sovereign wealth fund GIC and investment firm Coatue, with backing from a long list of global institutions, including D.E. Shaw Ventures, Dragoneer, Founders Fund, ICONIQ, and MGX, alongside strategic participation from existing tech investors. That valuation is roughly double what Anthropic was worth at its last funding round in 2025, when it raised $13 billion at a $183 billion post-money…
If you opened a tech newsletter or even the internet in early 2026 and thought you’d stepped into a dystopian screenplay, or you are the main character in one of Isaac Asimov’s writings, you wouldn’t be alone. Headlines trumpet layoffs, companies blame “AI transformation,” and somewhere in the background, billionaires cheer hot-off-the-press artificial intelligence strategies. Here’s the uncomfortable truth: people are still losing their jobs, while AI gets most of the credit. According to the most recent tracking data, the pace of layoffs in tech remains high in 2026. Outplacement firm Challenger, Gray & Christmas reported that U.S. employers announced…
Nscale, the British hyperscaler engineered for AI, announced it has signed a €1.1 billion ($1.4 billion) Delayed Draw Term Loan backed by the GPU DDTL to purchase GPU infrastructure to deliver service under multiple contracts.
The GPU DDTL was led by funds managed by PIMCO, Blue Owl, and LuminArx Capital Management, with support from additional asset managers and banks. This follows a €146 million Series A in late 2024, and a record-breaking €936 million Series B in Sept. 2025.
Josh Payne, Founder and CEO of Nscale says: “We’re seeing massive demand for AI infrastructure to support the needs of businesses and consumers. This GPU debt financing is a key step in meeting that demand – backing infrastructure that can be delivered faster and more cost-effectively than industry norms, whether that’s large-scale hubs in Norway to smaller metro clusters built for low-latency workloads.”
In 2025 a number of European AI infrastructure and compute-platform startups secured significant funding. Among these is DataCrunch, which secured €55 million in September 2025 to scale its high-performance compute platform from Finland, and NexGen Cloud, a London-based provider that raised €41 million in April 2025 to extend sovereign AI infrastructure services.
Together, these disclosed rounds (totaling €96 million in 2025 outside of Nscale’s recent debt finance) reflect growing investor interest in European alternatives to dominant hyperscalers.
Against this backdrop, Nscale’s latest €1.1 billion GPU delayed-draw term loan to finance GPU infrastructure purchases builds directly on its earlier equity rounds and positions the company to accelerate deployment of large-scale AI compute capacity for enterprise customers across Europe.
Founded in 2024, Nscale is an AI-native infrastructure platform, providing vertically integrated compute, networking, storage, managed software and AI services delivered in Nscale-owned and colocated data centres.
This financing directly supports Nscale while it builds large scale GPU deployments in support of the surging enterprise demand. Its strategically located data centres reportedly harness some of the lowest-cost renewable energy in the world, allowing Nscale to pass these significant savings directly to customers.
The GPU DDTL will be used to further Nscale’s deployment of large-scale AI infrastructure across Europe by allowing Nscale to utilise debt to finance a portion of GPU infrastructure purchases. The loan provides capital for capex spend associated with multiple GPU clusters for customers with executed contracts and additional liquidity for pipeline clusters.
This announcement comes following major milestones for Nscale over the last year – including contracts for multiple large scale compute clusters across the globe, along with expanding its leadership team and the acquisition of Future-tech, a European data centre engineering consultancy – in service of continuing to grow its global footprint.
simmetry.ai, a
synthetic data company working across agriculture, food and industrial sectors,
has secured €330,000 from NBank, the investment and development bank of the
German state of Lower Saxony. The funding was provided through the High-Tech
Incubator (HTI) accelerator programme.
simmetry.ai was
founded in 2024 as a spin-off from the German Research Centre for Artificial
Intelligence (DFKI) by Kai von Szadkowski (CEO), Anton Elmiger (CTO) and Prof. Dr. Stefan Stiene. The company develops a simulation platform that generates
photorealistic, fully annotated synthetic data across multiple sensor
modalities for training computer vision models. Its current focus includes
agriculture, food and industrial computer vision applications.
The platform
supports tasks such as semantic segmentation, object detection, 3D pose
estimation and regression. It is aimed at computer vision engineers and AI
developers working in areas such as robotics, autonomous machinery, quality
inspection and other environments that rely on visual perception under complex
and changing conditions.
simmetry.ai aims to
address what it describes as a key data bottleneck in AI development. According
to the company, a significant portion of effort in building AI models is spent
on data collection and preparation, particularly in industries where capturing
diverse real-world scenarios is costly or difficult. Its synthetic data
approach is intended to augment real-world datasets and improve model
robustness by generating photorealistic images across controlled conditions,
environments and edge cases.
The technology is
being applied to use cases including precision weed control, quality inspection
in food production, and AI-based monitoring in industrial environments.
Commenting on the
company’s focus, Anton Elmiger, said that agriculture was chosen as an initial
sector due to its technical complexity and potential impact. He explained that
improving crop monitoring and management requires reliable computer vision
systems, which are often limited by a lack of diverse training data.
With new funding,
the company plans to develop a scalable platform that enables AI developers to
generate photorealistic, fully annotated training data tailored to specific use
cases, with the aim of reducing the time and cost required to build robust computer
vision models in data-constrained environments.
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ScyAI raises €2 million to bring AI-driven risk intelligence to enterprise real estate and insurance teams
Zurich-based PropTech startup ScyAI has closed a €2 million pre-Seed round to further develop their solution to make AI-powered risk intelligence accessible to companies with large real estate portfolios.
The round was led by AENU and co-led by PT1, also attracting unicorn founders including David Helgason (Unity), Maex Ament and Philip Stehlik (Taulia, Centrifuge), investing through Anti Ordinary Ventures, as well as Bela Lainck, Robert Levenhagen, Christoph Aufmhof, and Stefanie Gerhart through the angel investor alliance better ventures.
“Physical risks are becoming a core operational and financial issue for companies,” says Bernhard Rannegger, founder and CEO of ScyAI. “Our mission is to make these risks measurable, understandable, and controllable – so that enterprise risk and insurance teams can make better decisions and evolve from a cost center to a strategic resilience capital allocator.”
In the context of European PropTech funding in 2025-2026, ScyAI’s pre-Seed raise sits alongside several other notable investments that reflect investor interest in digital tools addressing building data, climate impact, sustainability and financial decision-making.
For example, Telescope (€3.7 million Seed round), an Oslo-based PropTech startup, secured funding in March 2025 to help real-estate owners turn climate and sustainability risk data into actionable, portfolio-level insights for better strategic decisions. In Germany, Lumoview (€3 million Seed) raised capital in June 2025 to accelerate its building analytics technology that rapidly captures and processes physical building data to support energy efficiency and retrofits.
This backdrop shows a pattern of early-stage funding flowing into solutions that help property owners and investors manage climate risk, sustainability performance, and data-driven decision workflows. ScyAI’s round, with its focus on AI-powered risk intelligence for large asset portfolios and insurance teams, fits within this trend of capital supporting digital transformation in real estate risk and asset management
“We are excited to back ScyAI as they build the next generation of AI-native risk management. The combination of strong technical ambition, clear customer ROI, and a massive global market makes this a compelling opportunity, “says Robert Stoecker, Partner at AENU.
ScyAI was founded in 2025 by an insurance and risk tech team: CEO Bernhard Rannegger spent six years in tech and product management at Swiss Re, developing AI risk models and building a joint venture with Palantir that scaled to 50+ enterprise customers (including Siemens, Petronas, and Maersk). As Head of Risk and Insurance AI, Alex Sidorenko brings 20+ years of experience in risk management and insurance management, including from Deloitte, PwC, and EuroChem, and most recently as Group Head of Insurance & Risk at Serra Verde.
For manufacturers, energy producers, and companies with large physical asset portfolios, climate risk has become a critical operational concern. Munich Re reports that 2025 saw approximately €188 billion ($224 billion) in economic losses from natural catastrophes, with insured losses of €91 billion ($108 billion). More than half remains uncovered.
According to the company, this protection gap exists partly because many companies cannot justify the premiums they’re quoted. Insurance pricing is typically based on broad industry categories and regional averages rather than company-specific risk profiles. Without detailed data on a facility’s construction quality, mitigation measures, or asset separation, underwriters price defensively.
Companies with strong risk management end up subsidizing weaker peers in their industry category – or they retain more risk than intended, either by choice or without fully realising the gaps in their coverage.
This is where ScyAI looks to come in. The platform builds quantified, auditable risk profiles by combining operational data with external hazard models, enabling organisations to demonstrate their specific risk quality using the same and more metrics underwriters rely on.
“We are excited to join ScyAI’s pre-seed round as climate risk starts to redefine how real assets are insured and managed. ScyAI enables companies to precisely quantify climate exposure and risk, providing critical infrastructure for a more resilient built world. The team’s exceptional founder–market fit gives us strong conviction in their ability to lead this emerging category,” says Fabian König, Investment Manager at PT1.
Early adopters of the methodology report 30–50% premium reductions – translating into seven-figure savings for companies with substantial insurance programmes – while increasing limits and closing coverage gaps. These savings then fund physical resilience investments, creating a cycle in which better risk management generates measurable returns.
ScyAI is designed for companies with substantial physical infrastructure, addressing both the affordability and adequacy challenges that drive today’s protection gap.
“ScyAI has what is rare in this category: genuine insurance DNA plus product delivery. The team is not building another climate analysis tool, but rather decision-making tools that really work in risk and insurance teams. That is precisely why we believe that ScyAI can set a new benchmark here and shape the market,” says Tina Dreimann, founder and managing director of better ventures.
