Build and test AI solutions

Accelerate AI development and testing with expert support, sovereign infrastructure and compliance-by-design practices. Building trustworthy AI systems requires navigating complex technical, ethical and regulatory challenges alongside substantial computing needs. Our services, including dedicated AI development and assessment sandboxes, help you address these issues while maintaining a clear focus on your business goals.

As your AI concepts move toward production, you need robust development, realistic testing and clear governance. And because trustworthy AI also depends on data access and security, our services combine model engineering with compliance and usability expertise.

Powered by MeluXina-AI Luxembourg’s sovereign AI-optimised supercomputer, we provide the computational power and expert support to accelerate model training, simulation and validation.

Building the solution

During the build phase, our AI technical sandboxes lets you test data quality, prototype models and explore predictive power. You can develop or fine-tune pipelines with expert guidance and secure processing for sensitive datasets.
The expected outcome includes a cleaned dataset, a first dashboard, and one or more fit-for-purpose models designed around your use case, performance targets and integration constraints.

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Usability, accessibility and compliance

Even the most robust AI model needs user trust and regulatory alignment. You can raise the maturity of your solution with “trustworthy-by-design” practices, automated testing, and evidence collection mapped to the EU AI Act. As interfaces shape acceptance, we assess usability and UX for chatbots, LLM assistants and smart agents, then provide design recommendations you can reuse. Where needed, we support regulatory sandboxes and offer AI governance coaching to help demonstrate compliance with authorities.

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Testing the solution

Before your AI solution goes live, neutral evaluations clarify risks and remediation paths. You can request assessments across explainability, robustness, bias, human oversight and autonomy, with prioritised recommendations for improvement. Because attack surfaces evolve, cybersecurity reviews examine your AI solution’s exposure and controls. The result is an actionable test report you can share with product, risk and compliance teams.

Validate your model

[Available soon] Data support

For data-intensive work, data discovery and secure access to datasets run in parallel to accelerate development. A metadata catalogue streamlines dataset identification and lineage, while a secure processing environment enables compliant analysis of sensitive data for approved projects. In turn, you strengthen data governance, reduce access delays and keep privacy safeguards in place from day one.

Ready to turn a prototype into a reliable service?

Talk to our team about AI development and testing pathways tailored to your use case, data constraints and compliance requirements.

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From Idea to Adoption

As a one-stop shop, we bring development, testing and governance under a single roof, so you can progress with clarity and control. And because each use case is different, our support adapts to your maturity, sector and risk profile.

You reduce technical risk as we combine model engineering with cybersecurity, UX and compliance expertise.
You gain speed with sovereign compute and secure data access, while keeping intellectual property and privacy protected.
You improve adoption through usability assessments and human-centred design patterns you can reuse.
You document trustworthiness with test evidence and governance artefacts aligned to the EU AI Act.

We help you move from idea to production readiness with fewer hand-offs, clearer evidence, and solutions that meet business and regulatory expectations.