Our Cloud Solutions

Data Consulting

Structure your data and AI strategy with the support of specialized consultants. From data assessments and governance to risk management and roadmap development, turn your ambitions into concrete, manageable projects.

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Data Intelligence

Transform your data into a driver of decision-making and performance. Centralize your data flows within an enterprise data lake and develop machine learning, generative AI, and AI agent use cases tailored to your business challenges.

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Data Governance

Strengthen, structure, and secure your company’s data. DEEP supports you with data quality assessments, data architecture, and the implementation of Data Governance frameworks, processes, and tools.

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Database Management

DEEP designs, operates and secures your Oracle, SQL Server, PostgreSQL, MongoDB and other databases, both on-premises and in the cloud, with 24/7 managed DB services that guarantee performance, availability and compliance.

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IoT / IoP Solutions

Collect, analyse and create value from data generated by connected environments. DEEP designs and deploys IoT and IoE solutions to improve operational efficiency, optimise usage and drive measurable performance gains.

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Data & Artificial Intelligence driving business performance

In Luxembourg and France, DEEP supports organizations at every stage of their Data & AI projects: current-state assessment, data strategy, architecture, governance, data quality, security, and industrialization.

This approach enables the deployment of reliable artificial intelligence solutions tailored to business needs, including machine learning, generative AI, AI agents, and process automation. Every project is designed to deliver measurable outcomes, such as improved decision-making, optimized operations, and the creation of new services.

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Nos études de cas

ADCA – Scalable data architecture

DEEP structured ADCA's database architecture to ensure performance, reliability, and data visibility.

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Sovereign AI for Generali Luxembourg

Deployment of a sovereign AI solution in Luxembourg to optimize AML/KYC processes.

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ADCA – Scalable data architecture

DEEP structured ADCA's database architecture to ensure performance, reliability, and data visibility.

Read the case

ADCA – Scalable data architecture

DEEP structured ADCA's database architecture to ensure performance, reliability, and data visibility.

Read the case

Related articles

Data & AI Tendances

Healthcare: When AI Becomes a Practical Tool for Healthcare Organisations

AI in healthcare: optimise patient pathways, medical scheduling and healthcare data management with secure, sovereign artificial intelligence solutions.

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Published on

18 August 2026

Data & AI Tendances

Optimising Logistics Operations with Data: What Industry Leaders Are Already Doing

AI in logistics: optimise routes, inventory and predictive maintenance with data for more efficient, profitable and sustainable transport operations.

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Published on

12 August 2026

Data & AI Gouvernance

HR Data: Improve Employee Engagement

Use HR data to measure employee experience, improve recruitment, personalize training, and strengthen employee engagement.

Read the article

Published on

07 July 2026

Do you have a Data or Artificial Intelligence project?

Our experts support you from data structuring to the deployment of AI solutions to improve performance, enhance decision-making and create measurable business value. Contact us via the form.

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FAQ – Data & Artificial Intelligence Solutions

How can data and artificial intelligence be practically leveraged in a company?

To effectively leverage data and artificial intelligence in a business context, it is essential to structure the entire data value chain, from data collection to business usage.

At DEEP, this approach is built around Data Intelligence, combining data flows, a data lake, machine learning and generative AI to improve decision-making, automate processes and deliver measurable business value.

How can you build a Data & AI strategy within an organization?

A Data & AI strategy begins with an assessment of existing data, tools, and current use cases. It then helps define business priorities, the target data architecture, governance rules, and a realistic roadmap to deploy the highest-value use cases.

What is the role of data engineering in an artificial intelligence project?

Le data engineering permet de collecter, transformer, structurer et rendre accessibles les données nécessaires aux modèles d’intelligence artificielle. Il constitue le socle technique indispensable au machine learning, à l’IA générative et aux agents IA.

What is the role of Data Governance in a Data & AI project?

Data Governance ensures that data used in Data & AI projects is reliable, consistent and compliant. It plays a critical role in risk management, data quality and the long-term sustainability of AI initiatives.

DEEP teams support organisations in implementing tailored data governance frameworks, particularly in highly regulated environments such as France and Luxembourg.

How can artificial intelligence concretely address business challenges?

Artificial intelligence can effectively address business challenges when it is built on strong data foundations. Clear data governance, high-quality, reliable and well-structured data are essential to ensure the relevance and efficiency of AI use cases. Without these prerequisites, AI projects struggle to deliver operational value.

With this approach, DEEP designs and deploys customised artificial intelligence agents, tailored to specific business needs. These AI agents leverage existing data to automate tasks, support teams, enhance decision-making and optimise key processes. By combining Data Governance, Data Intelligence and artificial intelligence, AI projects become concrete levers to address real business challenges and generate measurable results.

What is the difference between Data Intelligence, Data Governance and Data Consulting?

Data Intelligence covers advanced data-driven use cases such as analytics, machine learning and generative AI.

Data Governance provides the foundation for reliability and compliance, encompassing data management, data architecture and Big Data platforms.

Data Consulting, as delivered by DEEP, focuses on structuring and steering the Data & AI strategy, ensuring alignment with business, technological and regulatory requirements.

Why are data quality and data updates critical to the success of a Data & AI project?

Data quality is a key success factor for any Data & Artificial Intelligence project. Incomplete, inconsistent or poorly governed data limits the reliability of analytics and significantly reduces the effectiveness of AI models, including generative AI and AI agents.

To deliver tangible results, DEEP supports organisations in implementing data governance frameworks and best practices designed to improve data reliability, consistency and traceability. By relying on high-quality, well-structured and up-to-date data, Data & AI projects can scale, align with business needs and generate sustainable business value.

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