Europe isn’t short on AI capacity, but it clearly is short on control. While hyperscalers and ‘GPT wrappers’ (applications built on top of the OpenAI-GPT API) promise the moon, organisations are wrestling with a hard reality: how do you deploy AI without handing over your data, your control, or your pace? The answer is a European platform that combines speed, sovereignty and scalability - without the usual IT complexity. Because who still wants to spend years experimenting while the competition is already winning?

We see this pattern a lot. A company signs an AI vendor contract. It has the usual suspects: a data processing addendum, an SLA with uptime numbers, maybe a GDPR clause bolted on. The legal team signs off. IT is happy. Everyone moves on. Then something shifts. The vendor bumps pricing by 30%. Or they quietly swap the model running behind the API, and suddenly your validated workflows produce different outputs. Or worse, the vendor gets acquired, and the new owner has different ideas about data retention.

Imagine this: a mid-sized law firm in Frankfurt adopts a popular AI assistant to speed up contract review. The tool works beautifully. Response times drop, associates handle more matters, and clients are impressed. Six months in, a partner asks a simple question: where exactly is our client data being processed? The answer, it turns out, isn't straightforward, and the implications run deeper than anyone expected.

In the landscape of public sector consulting, Haute Equipe is well known for their expertise in business operations, legal advisory, and the social domain. But like many advisory firms in the public sector, Haute Equipe wrestles with a fundamental question: how can we use AI without sharing sensitive government information with American tech giants?

This article presents the findings of a proof of concept in which the User Associations of PinkRoccade Local Government and Centric, together with GLBNXT, jointly explored how generative AI can be used to support procurement processes for Dutch municipalities. Not with the goal of automating processes, but to understand where AI can help, where its limits lie, and what preconditions are essential for responsible use within the public sector.

The legal profession is at an interesting crossroads right now. Artificial intelligence, particularly generative AI, promises to change how lawyers work. We're talking about everything from legal research and document analysis to drafting and client communication. But this technological leap raises some critical questions about professional obligations, client confidentiality, and the independence of legal practice itself.

AI-driven language models are fast being included into healthcare, providing fresh opportunities to increase operational efficiency and patient care. Improved large language models (LLMs) during the past year have opened the path for better clinical applications, therefore enabling healthcare providers to work more effectively.

Artificial Intelligence is no longer the future—it's the present. But as AI technologies rapidly transform how businesses operate, a critical challenge emerges: how can enterprises fully leverage the power of AI while remaining aligned with the strictest data protection standards? If your organization is committed to innovation, but not at the expense of trust, transparency, or control, this blog is your starting point.

Most enterprises have sovereignty backwards. They invest in regional data centers, negotiate compliance contracts, and ensure geographic residency, then hand complete control of their AI orchestration layer to vendors. The result? Organizations that are compliant but not sovereign. According to Gartner's 2026 CIO Survey, 50% of technology executives worldwide now recognize this gap and are re-evaluating vendor relationships. True sovereignty lives at the orchestration layer, the routing logic, model selection, fallback strategies, and integration patterns that determine your architectural flexibility.

European enterprises deploy AI applications faster when they can compare models, understand compliance implications, and switch providers without vendor lock-in. GLBNXT's Model Hub centralizes specifications for every available large language model (LLM) on the platform: the foundational and embedding models that power generative AI and machine learning applications. From parameters and context windows to hosting location and licensing, you can confidently select models that match your technical requirements and sovereignty needs.

The European Data Act (also known as the Data Regulation) entered into force on September 12, 2025. This new legislation aims to give companies, citizens, and governments more opportunities to use and share data that was previously often accessible only to the manufacturer or service provider. In practice, the Data Act promises to strengthen the European data economy and facilitate data-driven innovation by significantly increasing the availability and reuse of data. For organizations that work intensively with data such as large enterprises with sensitive customer information, substantial intellectual property (IP), and strict compliance requirements this law brings both opportunities and obligations.

Imagine this: over five years, a manufacturing company chooses to cut emissions by forty percent by using renewable energy sources, therefore lowering its carbon footprint. Along with this, a tech company examines its supply chain to guarantee workers manufacturing its products are given fair compensation and work under safe conditions. Although these initiatives seem charitable, they are increasingly becoming necessary parts of Environmental, Social, and Governance (ESG) compliance—a significant shift in corporate behavior. Read more ....

The cloud is no longer a vision of the future, but the indispensable backbone of modern businesses and government agencies. Whether you are a startup looking to scale quickly, an established enterprise aiming to optimize its processes, or a government organization seeking to improve its services, chances are your data and applications are running in the cloud. But in 2025, the choice between private and public cloud, and especially the origin of that public cloud, is central to a growing conflict between different regulations and geopolitical interests.

Navigating cybersecurity regulations is a complicated task. Do you find yourself drowning in a sea of regulatory documents? Are you overwhelmed by the sheer number of pages and the intricate terminology they use? Is cybersecurity not a core strength then how do you manage the challenge of interpreting complex regulations while conducting your core business? The challenge of interpreting multiple, often ambiguous documents while collecting and assessing internal data adds significant pressure. Read more ....

In today’s rapidly evolving digital landscape, businesses must innovate or risk being left behind. Enter GLBNXT, a Netherlands-based SaaS powerhouse revolutionizing business automation and application development. More than just another technology company, GLBNXT is built on a mission to make enterprise-grade digital transformation accessible to organizations of all sizes—while driving positive societal and environmental impact. Read more ....