Anthropic just launched a new platform that lets everyone in your company collaborate on AI — not just the tech team - Related to data, trends, everyone, platform, €450m
€450M to drive green data infrastructure, the next startup hub, and key trends and investment in February
This week we tracked more than 70 tech funding deals worth over €[website] billion, and over 5 exits, M&A transactions, rumours, and related news stories across Europe.
This week we also released [website] Pulse, a compact version of our monthly investigation for February, that’s available to all of our readers. It offers a glimpse into the valuable insights provided by our more comprehensive monthly reports , covering key investment trends, notable enterprise activities, and emerging industry sectors.
🇸🇪 EcoDataCenter secures €450M to drive green data infrastructure.
🇬🇧 Quantexa raises $175M, boosting valuation to $[website].
🫱🏽🫲🏻 Noteworthy acquisitions and mergers.
🇳🇱 Amsterdam’s Eventix merges with Weezevent, rebrands as Weeztix.
🇩🇪 The Munich-based robotics unicorn Agile Robots is taking over the audio intelligence enterprise audEERING.
🇩🇪 MoveAgain takes over German competitor.
🧠 How the world’s first mental health-focused VC Fund Masawa is changing venture investing.
💰 Arāya Ventures secures £[website] to invest in Seed and Pre-Seed 60 startups.
🇫🇷 Paris-based Sofinnova Partners raises €[website], surpasses €4B in AUM.
🤝 Meet the Latest Speakers Set to Take the Stage at the [website] Summit London 2025.
🇪🇺 Tech Investment in Europe drops 30% YoY butsSurges 70% from 2023.
🇪🇺 European [website] Pulse: key trends and investment in February.
⚛️ QMill’s quantum algorithms soon to outperform supercomputers, backed by new investment from Peter Sarlin.
⚛️ VTT and IQM’s 50-qubit quantum computer now available for business and research.
♀️The state of gender diversity in European startups: Female Innovation Index 2025.
🪖 Europe’s defense spending should focus on innovation.
🇺🇦 Looking for the next international startup hub? Why this founder chose Ukraine.
🇪🇺 European startups not “working hard enough to achieve success”, says Revolut boss.
🎶 From AI music tutors to smart stent monitoring: game-changing innovation at MWC/4YFN 2025.
🇬🇧 Citizens of Soil raises £[website] for premium olive oil production.
🇮🇹 Northern Lights Composites' sustainable innovation raises more than €600,000 in round.
🇦🇹 Combinder closes $500,000 pre-seed for decentralised energy network.
🇳🇱 Avery raises €300,000 to eliminate costly mis-hires.
🇱🇹 Strato Create secures €167,400 to transform architectural workflows and cut design time by 80%.
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Anthropic just launched a new platform that lets everyone in your company collaborate on AI — not just the tech team
Anthropic has launched a significant overhaul to its developer platform, introducing team collaboration attributes and extended reasoning capabilities for its Claude AI assistant that aim to solve major pain points for organizations implementing AI solutions.
The upgraded Anthropic Console now allows cross-functional teams to collaborate on AI prompts — the text instructions that guide AI models — and also supports the business’s latest Claude [website] Sonnet model with new controls for complex problem-solving.
“We built our shareable prompts to help our clients and developers work together effectively on prompt development,” an Anthropic spokesperson told VentureBeat. “What we learned from talking to clients was that prompt creation rarely happens in isolation. It’s a team effort involving developers, subject matter experts, product managers and QA folks all trying to get the best results.”.
The move addresses a growing challenge for enterprises adopting AI: Coordinating prompt engineering work across technical and business teams. Before this improvement, companies often resorted to sharing prompts through documents or messaging apps, creating version control issues and knowledge silos.
How Claude’s new thinking controls balance advanced AI power with budget-friendly cost management.
The updated platform also introduces “extended thinking controls” for Claude [website] Sonnet, allowing developers to specify when the AI should use deeper reasoning while setting budget limits to control costs.
“Claude [website] Sonnet gives you two modes in one model: Standard mode for quick responses, and extended thinking mode when you need deeper problem-solving,” Anthropic told VentureBeat. “In extended thinking mode, Claude takes time to work through problems step-by-step, similar to how humans approach complex challenges.”.
This dual approach helps companies balance performance with expenditure — a key consideration as AI implementation costs come under greater scrutiny amid widespread adoption.
Breaking AI’s technical barrier: How Anthropic is democratizing advanced AI for business clients.
Anthropic’s platform upgrade signals a broader industry shift to make AI development more accessible to non-technical staff, potentially accelerating enterprise adoption.
“We believe AI should be accessible to everyone, not just technical specialists,” . “Our console’s prompt library serves as a knowledge hub that helps spread best practices throughout organizations. This means someone in marketing or customer service can benefit from prompts developed by the technical team, without needing to understand all the technical details themselves.”.
Complete prompt lifecycle management: Anthropic’s strategic edge in the enterprise AI platform race.
The enhanced Console positions Anthropic distinctly in the competitive AI market, where rivals like OpenAI and Google have focused primarily on model capabilities rather than comprehensive development workflows.
“We’ve recognized that enterprise success depends on the entire workflow around those models,” the spokesperson stated. “Unlike other companies that offer either powerful models OR developer tools, we’re providing both in an integrated ecosystem.”.
Industry analysts say this approach could appeal particularly to mid-sized enterprises seeking to implement AI without expanding their technical teams. For larger organizations, the collaborative capabilities may help standardize AI implementations across departments — a growing priority as AI usage expands beyond initial pilot projects.
As enterprise AI spending continues to grow, companies are developing more sophisticated methods to measure return on investment. , end-individuals track metrics including time savings, quality improvements and new capabilities enabled by AI implementations.
“The Console updates specifically target development efficiency, knowledge sharing and consistent quality,” the spokesperson told VentureBeat. “Companies can reduce their prompt development cycles by using our collaborative tools, and enhanced scale their Claude implementation.”.
The updated Anthropic Console is available immediately to all clients.
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Atomfall will let you kill every character you meet
Rebellion’s upcoming survival RPG, Atomfall, will feature serious consequences for reckless players. In an interview with Digital Trends, Rebellion confirmed that players will be able to kill every NPC they meet.
Atomfall is a single-player nuclear RPG in the vein of Fallout 4 and [website] 2 set in a fictional version of the [website] ravaged by the Windscale fire. As you might expect from a game set in such a brutal world, death is a big part of the story — and players can choose to be stone cold killers, if they desire.
“You can kill absolutely everyone. You can kill no one,” Rebellion Head of Design Ben Fisher told Digital Trends during an interview at an Atomfall preview event in London. “It’s entirely up to you. There are characters that offer you ways out of the quarantine zone if you do a job for them. It’s up to you to decide who to trust.”.
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I played over an hour of Atomfall at this preview event and confirmed that Fisher’s comment was truthful. Even when I was speaking to an NPC that seemed extremely significant to the major narrative beats, like the Captain of Atomfall’s militaristic faction, the “takedown” option appeared as I stood near them. The only time I ever used it was to kill a baker who was withholding information from me, but I later learned that there was a less violent way to complete that storyline.
In general, NPCs are very reactive to the player’s actions. Some will ask you to step back before attacking you and won’t start attacking if you listen to them. The guards in a village will get mad at you if you brandish a gun and start running around town. Atomfall is shaping up to be a survival sandbox that reacts to the player, and Fisher emphasized the importance of that sense of freedom.
“Sometimes, one character might want you to kill another, and when you do that, you’re closing down leads,” Fisher says. “So you can kill absolutely anyone. That’s to give you that sense of freedom, and maybe the situation will get out of hand anyway without having to kill anyone.”.
Atomfall will be released on PC, PS5, and Xbox Series X/S on March 27 and be part of the Xbox Game Pass catalog from day one.
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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 Just 450M Drive 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.
algorithm intermediate
platform intermediate
API beginner
How APIs enable communication between different software systemsRPA intermediate
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