Who’s Betting, Where, and Why in AI – SwissCognitive AI Investment Radar

As global AI funding levels remain elevated, this week’s investment activity reveals a tightening pattern: fewer hubs, bigger bets, and sharper focus. Silicon Valley, Beijing, and Paris now account for 80% of global AI funding, while other regions navigate capital scarcity and look for niche leverage. Meanwhile, Amazon’s CEO used his annual letter to justify billions already spent, calling AI investments a necessity for long-term competitiveness.

In San Francisco, startup Virtue AI secured $30 million to tackle deployment risk, a concern that’s becoming more pronounced as adoption scales. UK-based Synthesia reported $100 million in revenue and welcomed Adobe Ventures as a new backer, underscoring the value of enterprise AI tools that are already delivering results. And in China, a newly launched $8 billion AI fund backed by government and finance ministries will channel early-stage investments into foundational research and startup formation.

CEE continues to gain investor attention as a cost-efficient and increasingly capable AI development region, while Korea saw a domestic political pledge of $70 billion toward AI initiatives. On the infrastructure front, Nvidia’s $500 billion long-term strategy—including chips and supercomputing partnerships—continues to drive share price gains, while nEye Systems closed a $58 million round to push optical chip development further into the AI stack.

Big tech players aren’t staying out of the startup scene either. Alphabet and Nvidia reportedly invested in SSI, the new venture by OpenAI co-founder Ilya Sutskever, and ex-OpenAI CTO Mira Murati’s startup is reportedly eyeing a massive $2 billion seed round. CMA CGM’s €100 million partnership with Mistral AI brings logistics into the funding spotlight, and the trend toward agentic AI for financial research continues to spread across fintech.

Previous SwissCognitive AI Radar: AI Funding Highlights.

Our article does not offer financial advice and should not be considered a recommendation to engage in any securities or products. Investments carry the risk of decreasing in value, and investors may potentially lose a portion or all of their investment. Past performance should not be relied upon as an indicator of future results.

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EU and France Go Big on AI – SwissCognitive AI Investment Radar

The AI investment landscape is taking another major leap forward this week, as governments and private investors pour billions into AI infrastructure and innovation. The European Union announced a massive €200 billion AI investment initiative, including a dedicated fund for AI gigafactories, signaling Europe’s intent to strengthen its global AI position. Meanwhile, French President Emmanuel Macron revealed a €109 billion AI investment package, just ahead of the AI Summit in Paris, where industry leaders like OpenAI’s Sam Altman are expected to weigh in on the future of AI policy and development.

Beyond Europe, AI capital continues to flow across the world. Saudi Arabia secured $14.9 billion in AI investments at the LEAP 25 tech conference, further reinforcing its ambition to become a major AI hub. Additionally, the kingdom has committed $1.5 billion to AI chip firm Groq, boosting its semiconductor and AI infrastructure efforts. Meanwhile, in India, 76% of companies already report positive AI returns, driving a wave of long-term AI investments as businesses look to integrate AI across new applications.

Private sector players are equally active. The Iliad Group announced a $3 billion AI investment, strengthening its position as Europe’s leading AI cloud provider. At the same time, Brookfield is committing €20 billion to AI projects in France, reinforcing the country’s growing reputation as a European AI powerhouse. SoftBank, however, reported a $2.4 billion loss in its Vision Fund but remains focused on long-term AI investments despite short-term financial turbulence.

Amid this investment frenzy, AI-driven sustainability solutions are gaining traction, as companies face mounting regulatory pressures. Clarity AI’s latest platform helps fund managers streamline ESG compliance, while Standard Chartered and the London Stock Exchange Group (LSEG) are deploying AI-powered investment tools to enhance retail investor strategies.

With Europe easing AI regulations to encourage competitiveness and Baidu’s CEO defending aggressive AI investments, the conversation is shifting from investment size to long-term returns and strategic positioning.

Next week’s developments are sure to bring more insights into where capital is flowing and how investors are adapting. Stay tuned!

Previous SwissCognitive AI Radar: AI Market Adjustments and Billion-Dollar Bets.

Our article does not offer financial advice and should not be considered a recommendation to engage in any securities or products. Investments carry the risk of decreasing in value, and investors may potentially lose a portion or all of their investment. Past performance should not be relied upon as an indicator of future results.

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AI Market Adjustments and Billion-Dollar Bets – SwissCognitive AI Investment Radar

The AI investment landscape remains as active as ever, with Alphabet announcing a staggering $75 billion commitment to AI infrastructure. This substantial bet highlights Big Tech’s continued push into AI dominance, following Meta’s $240 billion market value surge as investors back its open-source AI approach. Meanwhile, SoftBank is doubling down on AI, unveiling a joint venture with OpenAI in Japan and backing a $230 million investment into Indian AI startup Krutrim as the country accelerates its AI ambitions.

While these headline moves dominate discussions, AI hype versus reality is becoming a growing concern for investors. Early Nvidia investor Jonathan Cohen warns about “AI washing,” with companies inflating their AI capabilities to attract capital. This skepticism extends to financial institutions, where banks are ramping up AI investments, yet most are focused on incremental gains rather than disruptive overhauls.

Across the Atlantic, European AI startups raised $8 billion in 2024, setting the stage for the upcoming Artificial Intelligence Action Summit in Paris, where global leaders will debate AI’s role in economic growth. In fintech, AI-powered tools are attracting fresh funding, with Jump securing $20 million to develop AI-driven financial advisory solutions, while Marlin Equity Partners takes a majority stake in Napier AI, reinforcing AI’s role in financial crime prevention.

For investors looking at the financial impact of AI, new data suggests that mid-sized businesses can break even on AI investments within 9.5 months, achieving a 281% ROI in just three years. Yet, with Alphabet set to report earnings soon, investors are keen to scrutinize its AI-related capital expenditures, questioning whether such massive spending will translate into real returns.

Finally, China-based DeepSeek remains a wildcard in the AI trade, following its disruptive AI model that rattled the market last week. Whether its breakthrough is a game-changer or an overhyped anomaly remains a key debate among industry watchers.

As AI investments continue to shape global industries, we’ll be tracking the key shifts, opportunities, and market reactions in next week’s AI Investment Radar.

Previous SwissCognitive AI Radar: The AI Market Shake-Up: Where the Investments Are Headed.

Our article does not offer financial advice and should not be considered a recommendation to engage in any securities or products. Investments carry the risk of decreasing in value, and investors may potentially lose a portion or all of their investment. Past performance should not be relied upon as an indicator of future results.

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Copyright: forbes.com – “ChatGPT: How Search And Chat Combined Are Changing The Way We Explore”

ChatGPT has rolled out its search function to all users, offering real-time web browsing, interactive maps, and even video playback—all within a single conversation. On devices like the iPhone 16 or 15 Pro, users can now combine voice chats with this new search capability. Whether you’re looking for holiday events, restaurant suggestions, or tips on how to say “Happy New Year” in French, German, or Korean, ChatGPT delivers information in a fluid, back-and-forth exchange.

This marks a notable shift in how we interact with the internet. Since 2000s, search engines have defined the way we access information—isolated queries, links, and lists of results.

Now, chat is redefining the experience, offering not just data but dialogue, context, and actionable insights—all in one place. Combining search with chat in AI tools marks a shift that will transform how people work, learn, socialize, entertain, and access and use information.

From “Search” to “Chat”

The shift from searching the web to chatting with AI changes the process we interact with the virtual world. Instead of typing keywords, scrolling through links, and manually piecing together information, conversational AI invites exploration of synthesized messages built on multiple rounds of chats on multiple facets of a topic.

Imagine planning a trip: “Search” offers fragmented results—lists of flights, blog posts about destinations, and ads for hotels. But “chat” unfolds as a dialogue. You might start with: Where should I visit in Indonesia for the next summer? Then refine: What historical sites should I see in Java? Why are they significant?From there, you can further the conversation with questions such as: What festivals are happening during my trip? What local customs should I be ware of? Can you recommend books or films about Indonesia’s history?[…]

Read more: www.forbes.com

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SwissCognitive Guest Blogger: Ashwin Tambe – “Enabling a Smart Consumer with AI based Search Experience”

A smart consumer search experience empowers shoppers to make informed decisions quickly and confidently. It transcends traditional keyword matching to grasp the deeper intent behind a search query. This includes anticipating needs by suggesting relevant products or services before the consumer even realizes they need them, offering personalized recommendations based on past browsing behavior and purchase history, and seamlessly comparing products and prices across different retailers.

Advances in semantic search, AI, and natural language processing are enabling search engines to better understand user intent, deliver personalized recommendations, and facilitate conversational interactions.

Semantic Understanding and Organized Responses

Traditional keyword-based search is giving way to semantic search, where engines try to understand the intent and context behind a query. Search is getting a major upgrade! Imagine a giant encyclopedia that not only stores information but also understands how different concepts are connected. This is what search engines are building: massive knowledge graphs that link people, places, things, and ideas together. By analyzing these connections, search engines can grasp the deeper meaning of your queries, even if you don’t use the perfect words. For example, if you search for “best running shoes for beginners,” the search engine can understand that you’re not just looking for any running shoes, but for shoes that are specifically designed for people who are new to running. This allows the search engine to deliver more insightful results, such as reviews that focus on comfort and support for new runners, or comparisons that highlight features like shock absorption and breathability.

Personalized Recommendations

Search engines are getting to know you better! By remembering your past searches, location, and other bits of information, they can curate results that fit your interests. Imagine searching for “hiking trails” and seeing suggestions for beginner-friendly paths near your city, based on your previous searches for outdoor activities.

Behind the scenes, powerful algorithms are sifting through mountains of data, like detectives looking for clues. They recognize patterns and make predictions to personalize your experience. This might mean suggesting new cookbooks based on past recipe searches, or recommending movies similar to ones you’ve enjoyed before.

Even chatting with search engines is getting a makeover! Instead of clunky text interfaces, AI-powered assistants are emerging that can have natural conversations. These chatbots can answer your questions and offer help in a more conversational way, just like talking to a friend. Imagine asking “What are the best things to do in Paris?” and having a friendly AI chat back with personalized suggestions based on your interests and travel style.

Unified Experience – One destination Endless possibilities

Imagine a world where interacting with technology feels effortless and intuitive, anticipating your needs and desires before you even express them. This is the vision of Artificial Intelligence (AI) and its role in crafting a unified user search experience.

Traditionally, navigating the digital world has often been a disjointed experience. We juggle between various apps, websites, and devices, each with its own logins, interfaces, and functionalities. AI has the potential to bridge these gaps, creating a seamless and unified experience across all interaction points.

One way AI achieves this is through personalization. By intelligently analyzing our behavior, preferences, and past interactions, AI can tailor the user experience to our individual needs. For instance, an AI-powered virtual assistant might proactively suggest restaurants based on our recent searches and past dining habits. Similarly, an e-commerce platform might curate product recommendations that align with our interests and purchase history. This eliminates the need to endlessly search through countless options, saving us time and frustration.

AI also fosters foresight. AI algorithms can anticipate our needs and provide assistance before we even request it. Imagine a smart home system that automatically adjusts the temperature based on your daily routine or a fitness tracker that prompts you for a workout when you’ve been inactive for too long. This level of anticipation creates a sense of flow and removes the need for constant manual interaction.

Furthermore, AI can break down language barriers. Imagine traveling to a foreign country and being able to have a natural conversation with locals through an AI-powered translator that understands context and subtleties. This removes communication hurdles and opens doors to richer cultural experiences.

The possibilities of a unified experience powered by AI extend far beyond personal use cases. In the healthcare industry, AI can analyze patient data to provide more personalized treatment plans and improve overall health outcomes. In the education sector, AI-powered tutors can adapt to individual learning styles, creating a more effective and engaging learning environment.

However, it’s important to acknowledge the ethical considerations surrounding AI and user experience. Data privacy concerns and the potential for prejudice in algorithms need to be addressed to ensure a truly unified and positive experience for all.

Overall, AI has the potential to revolutionize the way we interact with technology. By creating a unified experience that is personalized, proactive, and removes language barriers, AI can empower us to achieve more and unlock a world of endless possibilities.

About the Author:

Ashwin Tambe, (Delivery Management Google , Retail CPG) is a management professional with expertise in enabling customers with AI adoption and bridging business gaps with use of modern technology. Ashwin actively engages in the public discourse on Large Language Models (LLMs) by sharing his insights through articles published on various digital platforms, exploring their consumption, societal impact, and potential role in shaping the future. Beyond his professional experience, Ashwin actively contributes to the academic community.he is serving as a judge and student mentor in University of Arlington Texas.

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Copyright: webuildvalue.com – “The application of Artificial Intelligence (AI) in Webuild’s construction sites, a new frontier of innovation”

From Paris to Melbourne, here are the worksites where AI to serve workers is being tested.

The Only Limit is Imagination. The application of artificial intelligence to the construction of large-scale projects, and specifically to construction site activities, are still largely unexplored. However, ongoing innovations in experimentation promise to revolutionize the industry. The use of robotics, the connection and integration of machines, sensors, and devices on site that “communicate” with each other, predictive maintenance driven by data collection and analysis, and augmented reality for staff training are just some examples of what artificial intelligence can do and how it can help transform the construction world. Starting with safety—one of the strategic sectors where innovations can enhance productivity while also saving lives. In this regard, Webuild’s construction sites around the world represent a new frontier of artificial intelligence, where innovative solutions are tested to minimize workers’ exposure to risk.

«Globally, explains Dr. Giampiero Astuti, Head of Innovation Program Management at Webuild, there is a hierarchy of safety controls ranging from the cultural factors, so anything that is linked to human behaviors, to the technical-organizational controls, including the technological one, which aim to intervene to the source of hazard. This is where artificial intelligence comes into play.»

The application of artificial intelligence in Webuild’s construction sites is being tested precisely where the risks are highest: in the movements of large construction machinery, in workers’ behavior inside tunnels, and in the operations of TBMs, the massive tunnel boring machines that dig tunnels.

«The potential is immense, continues Astuti, and we have begun testing these new AI applications in some sites and on certain models, starting from Paris and extending to Australia».

The application of AI in the Grand Paris Express Construction Sites

One of the first applications of artificial intelligence was tested in the construction of the Grand Paris Express, the new metro network in Paris that will connect the towns of Île-de-France.[…]

Read more: www.webuildvalue.com

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Transformative AI Investments and Market Leaders – SwissCognitive AI Investment Radar

This week, our coverage spans from venture capital driving the generative AI boom to major corporate investments and strategic partnerships.

We begin with top VC investors fueling soaring AI valuations, highlighting key players like Cohere and Perplexity. Moving to Europe, French startup Mistral AI’s substantial $645 million funding positions it as a strong competitor to OpenAI.

The cybersecurity sector sees a resurgence in venture capital, driven by generative AI innovations. Havas is gearing up for a potential IPO with a significant €400 million AI investment. Meanwhile, NATO’s €1 billion fund underscores AI’s growing role in global defense.

Major firms like Amazon, Baidu, and Cisco are making significant bets through specialized AI funds, while SAP enhances its AI initiatives with Joule and eyes a partnership with Microsoft. Gracia AI’s $1.2 million funding aims to advance photorealistic volumetric video technology.

From the UAE, Polynome Group launches a $100 million AI fund, and Brazil’s B3 introduces an AI assistant to aid new investors. Our podcast segment emphasizes the need for practical generative AI use cases, and UNICEF’s fund supports blockchain and AI for social impact. Finally, we explore AI’s growing role in enhancing investment decisions.

Join us as we delve into these developments and chart the future of AI investments and market leaders.

Previous SwissCognitive AI Investments Radar: AI Market Movements and Strategic Investments.

Our article does not offer financial advice and should not be considered a recommendation to engage in any securities or products. Investments carry the risk of decreasing in value, and investors may potentially lose a portion or all of their investment. Past performance should not be relied upon as an indicator of future results.

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Investment Insights from Around the World – SwissCognitive AI Investment Radar

The world of AI investment is as dynamic as ever, with major developments unfolding across continents. This edition of the SwissCognitive AI Investment Radar highlights how key players in the tech industry are making bold moves to solidify their positions in the AI landscape.

From Microsoft’s and Amazon’s billion-dollar investments in France to enhance their AI capabilities, to Stability AI’s talks with investors to secure crucial funding, the global AI investment scene is bustling with activity. SoftBank’s quarterly profit shift towards AI, Google’s significant investment in a Finnish data center, and the UK’s growing AI investment ambitions are just a few examples of the strategic initiatives shaping the future of AI.

This week, we also spotlight innovative efforts like Nashville’s Angel AI platform aimed at online child safety, CoreWeave’s massive $7.5 billion debt deal to boost AI datacenter resources, and UiPath’s significant investment in the French AI startup Holistic. These stories illustrate the diverse applications and far-reaching impacts of AI investments.

Join us as we explore these pivotal developments and gain insights into how AI investments are transforming industries, driving technological advancements, and shaping the future.

Previous SwissCognitive AI Investments Radar: Unfolding The AI Investment Landscape.

Our article does not offer financial advice and should not be considered a recommendation to engage in any securities or products. Investments carry the risk of decreasing in value, and investors may potentially lose a portion or all of their investment. Past performance should not be relied upon as an indicator of future results.

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Copyright: omfif.org – “Could Artificial Intelligence Really Boost Labour Productivity?”

Promising signs of labour market boosts

Artificial intelligence has long been theorised as a cure for the West’s ailing productivity growth. As the McKinsey Global Institute has shown, workplace productivity growth has been stagnant for about 40 years. But the discourse on the productivity effects of AI has been almost entirely speculative. Until recently, evidence of large-scale exposure to AI was absent from data.

In the last 10 years, scholars such as Daron Acemoglu and David Autor have shown how computerisation has led to an intra-firm re-allocation of skills and corresponding wage premiums via skill-biased technological change. Acemoglu and Pascual Restrepo showed that the equilibrium impact of industrial robots between 1990 and 2007 in the US reduced wages and employment in the local labour market.

However, the extent of these effects, as well as the question of whether they boosted productivity at the industry level, is a matter of debate. Thomas Phillippon, a French economist, has suggested that some of these productivity gains led to organisational splits between management and worker wages.

Another hypothesis is that general-purpose technologies – such as the steam engine or electricity – need time, investment and complementary innovations to convert an accumulation of intangible capital, like AI technology, into a productivity enhancer. This means that we should expect a stagnation period before a productivity boom.

Other possible explanations may be that we are not measuring productivity in the right way, as macroeconomic measures don’t usually account for intangible capital. It could also be that, because only a few firms are currently capturing most of the benefits from AI, this is not going to be reflected by macroeconomic measures.

Large language models are making an impact

Within generative AI, however, large language models are starting to have positive effects on productivity growth. These include faster and higher-quality creative output and professional writing, and extend to writing code and creating better advertisements. It should be noted that not all LLMs improved performance, and that some studies showed a larger boost for AI systems that allowed users to contribute with their own skills and knowledge.[…]

Read more: www.omfif.org

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SwissCognitive Guest Blogger: Mario Grunitz, Co-founder of WeAreBrain

Switzerland’s unique linguistic diversity is fertile ground for language service providers (LSP). Nestled in the heart of Europe, the country has a thriving language services market thanks to its four official languages: German, French, Italian, and Romansh.

Most domestic companies, from telecom and transport to retail and finance, operate in German, French, and Italian. Due to this multilingual imperative, they are big buyers of translation services with over 250 language service providers in Switzerland.

How AI is disrupting Swiss language services

Historically, the language service industry in Switzerland has evolved to cater to these diverse linguistic needs. However, the advent of Artificial Intelligence (AI), particularly Large Language Models (LLMs), has introduced a new dynamic to this landscape.

The impact of AI on the Swiss language services market has been palpable, with LLMs offering unprecedented capabilities in translation, interpretation, and natural language processing. The ability of these models to understand context and generate coherent, contextually relevant text has led to faster and more efficient language services, disrupting traditional approaches in the industry.

New business models and services

The integration of AI into the language service industry has given rise to innovative business models that redefine how language services are delivered in Switzerland.

The increased efficiency and speed provided by LLMs have prompted some companies to reconsider traditional pricing models, potentially leading to more competitive and cost-effective solutions for clients.

Over 50% of language service agencies integrate machine translation (MT) and other AI tools to enhance efficiency and reduce costs compared to human-driven models. However, even with the advancements in AI-driven machine translation over the past three decades, it has yet to consistently match the proven quality delivered by 100% human translation.

A new tool being used is SwissBERT, Switzerland’s version of the famous BERT (Bidirectional Encoder Representations from Transformers) language model and a flagship of natural language processing (NLP) advancement. It provides a deeper understanding of language context and flow than previous language models. While other nation-specific versions cater to one language, SwissBERT helps Swiss users perform multilingual tasks.

But with more translation jobs piling up each day than human translators can possibly satisfy, the need for machines is greater than ever. Additionally, the adoption of AI has broadened the scope of services offered by language service providers.

Zurich-based Quazel is harnessing AI to deliver personalised and individual language tutoring to develop conversational fluency, while fellow Zurich LSP Interprefy has released an automated real-time translation tool. Aivia focuses on interpreting meetings and events by translating speech into audio and captions in real-time.

Combining AI and language specialists, Swiss language service provider Text Shuffle leverages technology to allow businesses to communicate in any language in their own brand voice. Businesses can customise their tone, terminology, and style according to their industry.

Upskilling language professionals

As the language services industry evolves, language professionals find themselves at a crossroads, necessitating a shift in skill sets to remain relevant in the AI era.

AI literacy is now a fundamental requirement, as language professionals need to understand the intricacies of working alongside advanced language models. Moreover, skills related to data annotation and curation have become crucial, as these models rely heavily on high-quality training data.

In Switzerland, initiatives and programs will soon emerge to address the upskilling needs of language professionals specifically. Collaborations between language service providers, educational institutions, and tech companies will result in training programs focussing on the intersection of language expertise and AI technology.

These initiatives will equip professionals with the tools and knowledge necessary to navigate the evolving landscape of language services and foster collaboration between language professionals and technology.

Preserving Romansch with AI

The Romansch language represents a rich cultural heritage in Switzerland and faces unique challenges regarding relevance in the modern era.

With a relatively small number of speakers compared to the other official languages, Romansch requires special attention to ensure its preservation and continued relevance.

Thanks to a collaboration between Swiss companies Radiotelevisiun Svizra Rumantscha (RTR) and TextShuttle, automated translation from and into Romansh is finally available.

While Romansch likely won’t be included in the long list of forgotten languages for AI to help decipher, AI-driven tools can contribute to making Romansch more accessible through translation services, thereby expanding its reach in the digital space.

Challenges and solutions

While AI delivers faster and streamlined translations leading to improved productivity and reduced costs, there are some challenges to consider.

One critical aspect is the preservation of quality in AI-driven language services. The risk of inaccuracies and misinterpretations in machine-generated content underscores the importance of maintaining a balance between technology and human expertise.

There are critical challenges to overcoming algorithm bias, notably regarding gender information relating to particular job roles and the discrepancies of masculine/feminine usage in non-English languages.

Like every industry adopting widespread AI, ethical considerations and data privacy concerns are additional challenges that the language service industry must grapple with. The use of AI raises questions about the responsible handling of sensitive information, requiring robust ethical frameworks and compliance measures.

Swiss companies are proactively addressing these challenges through a combination of strategies. Many are implementing strict quality control measures, investing in ongoing training for professionals, and adopting ethical guidelines for AI usage.

Final word

The language service industry in Switzerland is experiencing a transformation driven by the integration of AI, particularly LLMs.

But instead of silencing what came before, this evolution of expression adds new business models and opportunities to the conversation. Swiss companies are adapting strategically to maintain the delicate balance between technology and human expertise.

Looking ahead, the collaboration between humans and AI will likely become more seamless, providing an eloquent portmanteau of efficiency and linguistic expertise to realise a fluency of future expression.

References:

• https://slator.com/the-slator-switzerland-250-language-service-provider-list/
• https://www.getblend.com/blog/artificial-intelligence-changing-the-translation-services-industry/
• https://www.rapporttranslations.com/blog/inside-the-industry-translating-the-future-of-ai-in-language-services
• https://www.marktechpost.com/2023/07/18/researchers-from-the-university-of-zurich-develop-swissbert-a-multilingual-language-model-for-switzerlands-four-national-languages/
• https://lightcast.io/resources/blog/not-lost-in-translation-how-ai-affected-translation-and-language-professionals
• https://slator.com/automated-romansh-translation-now-available-for-the-first-time/
• https://swissglobal.ch/en/blog/could-ai-help-us-translate-long-forgotten-languages/
• https://www.translateplus.com/blog/what-are-the-biggest-challenges-facing-ai-translation-technology/
• https://www.swissinfo.ch/eng/machines-and-ethics–artificial-intelligence-switzerland/46213634

About the Author:

Mario Grunitz is WeAreBrain’s co-founder and serial entrepreneur with over 15 years of experience in the technology field. His expertise lies in building and growing successful product, marketing and technology teams and innovative service offerings in high-pace, high-tech and high-growth organisations.

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