365 Finance secures £150M debt facility, Prosus' €4.1B acquisition of Just Eat Takeaway, and Web3 companies to watch - Related to watch, secures, debt, voice, takeaway,
365 Finance secures £150M debt facility, Prosus' €4.1B acquisition of Just Eat Takeaway, and Web3 companies to watch

This week, we tracked more than 80 tech funding deals worth over €2 billion and over 5 exits, M&A transactions. Rumours, and related news stories across Europe. In addition to this week's top financials, we've also indexed the most important/industry-related news items you need to know about.
🇬🇧 365 Finance secures £150M debt facility.
🇬🇧 Fintech Flow48 secures $69M Series A to expand into Saudi Arabia.
🫱🏽🫲🏻 Noteworthy acquisitions and mergers.
🇳🇱 Prosus moves to acquire Amsterdam-based Just Eat Takeaway in € deal.
🇩🇪 Edyoucated acquires AI-powered HRtech Peers Solutions.
🇪🇸 Embat acquires Necto to boost bank API connectivity and instant payments.
🇫🇷 Technis acquires the French corporation Videtics.
🇬🇧 Cambridge Innovation Capital launches £100M Fund for deeptech and life sciences.
🇪🇸 Spanish Investment Firm IDC Ventures announces €150 Million Fund of Funds I.
👭 Athena VC Elevate launched to support female founders.
🇬🇧 CIC tackles UK late-stage funding gap with £100m deep tech fund.
🇪🇺 Thoma Bravo invests billion euros in European tech.
⚛️ Welinq and QphoX partner to tackle quantum computing's scaling problem.
🇬🇧 UK fintech The Payment Firm hit with onboarding restrictions.
🇪🇪 Estonian startups hit € revenue mark as DeepTech takes centre stage.
🛰️ CTO unveils first 5G mmWave satellite payload, pioneering space-based internet connectivity.
🇺🇦 Ukraine’s startup ecosystem continues to shine.
🇩🇪 Powering global change: Germany’s tech ecosystem.
🇫🇮 Solid IO secures €800,000 to transform cancer treatment with tumour-on-chip technology.
🇬🇧 Monument Therapeutics secures £850,000 to advance schizophrenia treatment with MT1988.
🇧🇪 Jurimesh raises € to streamline contract analysis with AI-powered due diligence.
🇳🇱 EvidenceHunt raises € for medical data analysis platform.
🇸🇪 SponsWatch raises €1M seed for sports sponsorship analytics.
🇩🇪 Climatetech ctrl+s raises €1M to approximate supply chain emissions.
🇧🇬 Proptech AIoTCloud closes a €750,000 investment round.
🇨🇭Verretex raises €159,000 to transform damaged glass fibres into high-performance textiles.
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Hugging Face launches FastRTC to simplify real-time AI voice and video apps

Hugging Face, the AI startup valued at over $4 billion, has introduced FastRTC, an open-source Python library that removes a major obstacle for developers when building real-time audio and video AI applications.
“Building real-time WebRTC and Websocket applications is very difficult to get right in Python,” Freddy Boulton, one of FastRTC’s creators. stated in an announcement on “Until now.”.
WebRTC technology enables direct browser-to-browser communication for audio, video and data sharing without plugins or downloads. Despite being essential for modern voice assistants and video tools, implementing WebRTC has remained a specialized skillset that most machine learning (ML) engineers simply don’t possess.
Building real-time WebRTC and Websocket applications is very difficult to get right in Python.
Until now – Introducing FastRTC. The realtime communication library for Python ⚡️ — Freddy A Boulton (@freddy_alfonso_) February 25, 2025.
The voice AI gold rush meets its technical roadblock.
The timing couldn’t be more strategic. Voice AI has attracted enormous attention and capital — ElevenLabs not long ago secured $180 million in funding, while companies like Kyutai, Alibaba and have all released specialized audio models.
Yet. A disconnect persists between these sophisticated AI models and the technical infrastructure needed to deploy them in responsive, real-time applications. As Hugging Face noted in its blog post, “ML engineers may not have experience with the technologies needed to build real-time applications, such as WebRTC.”.
FastRTC addresses this problem. With automated elements handling the complex parts of real-time communication. The library provides voice detection, turn-taking capabilities, testing interfaces and even temporary phone number generation for application access.
Want to build Real-time Apps with @GoogleDeepMind Gemini Flash? FastRTC lets you build Python based real-time apps using Gradio-UI. ?
? Transforms Python functions into bidirectional audio/video streams with minimal code.
?️ Built-in voice detection and automatic… — Philipp Schmid (@_philschmid) February 26. 2025.
From complex infrastructure to five lines of code.
Additionally, the library’s primary advantage is its simplicity. Developers can reportedly create basic real-time audio applications in just a few lines of code — a striking contrast to the weeks of development work previously required.
Moving to another aspect, this shift holds substantial implications for businesses. Companies previously needing specialized communications engineers can now leverage their existing Python developers to build voice and. Video AI attributes.
“You can use any LLM/text-to-speech/speech-to-text API or even a speech-to-speech model,” the announcement explains. “Bring the tools you love — FastRTC just handles the real-time communication layer.”.
hot take: WebRTC should be ONE line of Python code.
this changes everything — Gradio (@Gradio) February 25, 2025.
Building on these developments, the coming wave of voice and. Video innovation.
The introduction of FastRTC signals a turning point in AI application development. By removing a significant technical barrier, the tool opens up possibilities that had remained theoretical for many developers.
The impact could be particularly meaningful for smaller companies and. Independent developers. While tech giants like Google and OpenAI have the engineering resources to build custom real-time communication infrastructure, most organizations don’t. FastRTC essentially provides access to capabilities that were previously reserved for those with specialized teams.
The library’s “cookbook” already showcases diverse applications: voice chats powered by various language models, real-time video object detection and. Interactive code generation through voice commands.
What’s particularly notable is the timing. FastRTC arrives just as AI interfaces are shifting away from text-based interactions toward more natural, multimodal experiences. The most sophisticated AI systems today can process and generate text, images, audio and video — but deploying these capabilities in responsive, real-time applications has remained challenging.
By bridging the gap between AI models and real-time communication, FastRTC doesn’t just make development easier — it potentially accelerates the broader shift toward voice-first and. Video-enhanced AI experiences that feel more human and less computer-like.
For customers, this could mean more natural interfaces across applications. For businesses, it means faster implementation of elements their end-customers increasingly expect.
In the end. FastRTC addresses a classic problem in technology: Powerful capabilities often remain unused until they become accessible to mainstream developers. By simplifying what was once complex, Hugging Face has removed one of the last major obstacles standing between today’s sophisticated AI models and. The voice-first applications of tomorrow.
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CTO unveils first 5G mmWave satellite payload, pioneering space-based internet connectivity

Less than six months after securing € million in funding, Constellation Technologies & Operations (CTO) unveils its first regenerative operational payload, the Early Test.
The startup is developing a constellation of very low Earth orbit (VLEO) satellites that enable telecom operators to provide high-speed, low-latency internet access from space — just as they do today with terrestrial networks.
Tested on the ground under simulated space environmental conditions, the Early Test payload has been integrated into D-Orbit’s ION satellite platform, which will allow it to operate in orbit.
It is now scheduled to be launched into space in June 2025 and marks the first-ever use of the 5G millimetre wave (5G mmWave) spectrum for high-speed, low-latency internet data transmission via satellite anywhere on the planet.
The Early Test was designed to integrate and. Validate CTO’s essential hardware and software technologies for high-speed connectivity.
After its assembly, it underwent rigorous testing to confirm its functionality on the ground before being successfully integrated into the satellite platform that will support its operation once deployed in orbit.
CTO provides operators with alternative access to unsaturated spectrum and a competitive edge over dominant players like SpaceX’s Starlink and Amazon’s Kuiper. It positions the business as a future operator of space connectivity services, reinforcing Europe’s autonomy and competitiveness in the space telecommunications market.
“Our regenerative 5G mmWave payload is a world first that confirms CTO’s ability to accelerate the convergence between terrestrial and space connectivity.”.
CTO provides an efficient and cost-effective way to deliver high-performance connectivity in rural, remote, and. Underserved areas—without requiring heavy investment in expanding terrestrial networks to low-density regions.
Further, it offers a strategic alternative to large-scale constellations launched by new entrants, allowing telecom operators to manage a shared space-based telecommunications network, just as they do today with terrestrial networks. This model enables them to diversify their service offerings beyond fiber and cellular solutions.
Following its funding round, CTO has expanded its team to 30+ experts. Led by a highly experienced management team in the space and telecommunications industries.
Lead image: Constellation Technologies & Operations. Photo: uncredited.
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Market Impact Analysis
Market Growth Trend
2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
---|---|---|---|---|---|---|
12.0% | 14.4% | 15.2% | 16.8% | 17.8% | 18.3% | 18.5% |
Quarterly Growth Rate
Q1 2024 | Q2 2024 | Q3 2024 | Q4 2024 |
---|---|---|---|
16.8% | 17.5% | 18.2% | 18.5% |
Market Segments and Growth Drivers
Segment | Market Share | Growth Rate |
---|---|---|
Digital Transformation | 31% | 22.5% |
IoT Solutions | 24% | 19.8% |
Blockchain | 13% | 24.9% |
AR/VR Applications | 18% | 29.5% |
Other Innovations | 14% | 15.7% |
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity:
Competitive Landscape Analysis
Company | Market Share |
---|---|
Amazon Web Services | 16.3% |
Microsoft Azure | 14.7% |
Google Cloud | 9.8% |
IBM Digital | 8.5% |
Salesforce | 7.9% |
Future Outlook and Predictions
The Finance Secures 150M landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:
Year-by-Year Technology Evolution
Based on current trajectory and expert analyses, we can project the following development timeline:
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:
Innovation Trigger
- Generative AI for specialized domains
- Blockchain for supply chain verification
Peak of Inflated Expectations
- Digital twins for business processes
- Quantum-resistant cryptography
Trough of Disillusionment
- Consumer AR/VR applications
- General-purpose blockchain
Slope of Enlightenment
- AI-driven analytics
- Edge computing
Plateau of Productivity
- Cloud infrastructure
- Mobile applications
Technology Evolution Timeline
- Technology adoption accelerating across industries
- digital transformation initiatives becoming mainstream
- Significant transformation of business processes through advanced technologies
- new digital business models emerging
- Fundamental shifts in how technology integrates with business and society
- emergence of new technology paradigms
Expert Perspectives
Leading experts in the digital innovation sector provide diverse perspectives on how the landscape will evolve over the coming years:
"Technology transformation will continue to accelerate, creating both challenges and opportunities."
— Industry Expert
"Organizations must balance innovation with practical implementation to achieve meaningful results."
— Technology Analyst
"The most successful adopters will focus on business outcomes rather than technology for its own sake."
— Research Director
Areas of Expert Consensus
- Acceleration of Innovation: The pace of technological evolution will continue to increase
- Practical Integration: Focus will shift from proof-of-concept to operational deployment
- Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
- Regulatory Influence: Regulatory frameworks will increasingly shape technology development
Short-Term Outlook (1-2 Years)
In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing digital innovation challenges:
- Technology adoption accelerating across industries
- digital transformation initiatives becoming mainstream
These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.
Mid-Term Outlook (3-5 Years)
As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:
- Significant transformation of business processes through advanced technologies
- new digital business models emerging
This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.
Long-Term Outlook (5+ Years)
Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:
- Fundamental shifts in how technology integrates with business and society
- emergence of new technology paradigms
These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.
Key Risk Factors and Uncertainties
Several critical factors could significantly impact the trajectory of digital innovation evolution:
Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.
Alternative Future Scenarios
The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:
Optimistic Scenario
Rapid adoption of advanced technologies with significant business impact
Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.
Probability: 25-30%
Base Case Scenario
Measured implementation with incremental improvements
Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.
Probability: 50-60%
Conservative Scenario
Technical and organizational barriers limiting effective adoption
Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.
Probability: 15-20%
Scenario Comparison Matrix
Factor | Optimistic | Base Case | Conservative |
---|---|---|---|
Implementation Timeline | Accelerated | Steady | Delayed |
Market Adoption | Widespread | Selective | Limited |
Technology Evolution | Rapid | Progressive | Incremental |
Regulatory Environment | Supportive | Balanced | Restrictive |
Business Impact | Transformative | Significant | Modest |
Transformational Impact
Technology becoming increasingly embedded in all aspects of business operations. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.
The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.
Implementation Challenges
Technical complexity and organizational readiness remain key challenges. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.
Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.
Key Innovations to Watch
Artificial intelligence, distributed systems, and automation technologies leading innovation. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.
Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.
Technical Glossary
Key technical terms and definitions to help understand the technologies discussed in this article.
Understanding the following technical concepts is essential for grasping the full implications of the security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.