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Sovereign data & AI: industrialize your AI projects while keeping full control over sensitive data and digital sovereignty

A complete sovereign suite to train and deploy your data and AI models, from POC to large‑scale production

Move from experimentation to industrialization by orchestrating training, deployment and monitoring of your AI models in a secure environment built for critical data and advanced analytics use cases, with performance and compliance at the core.

Centralize data collection, storage, governance and visualization, and retain end‑to‑end control over data sovereignty, processing traceability and regulatory compliance (GDPR), while optimizing the operational performance of your AI workloads. The platform supports your proprietary models, partner models and open‑source models so your AI stack can fully align with your business strategy and risk policies.

Numspot’s sovereign Data & AI offering is designed to industrialize AI projects from the first idea through to scaled deployment, embedding automation, observability and security at every stage. Data pipelines, monitoring tools and orchestration services help you secure production rollouts and sustain model performance over time.

End-to-end control of your data & AI value chain

From the smallest pilot to the largest deployment, you benefit from the capabilities of a sovereign cloud operator: model training, testing, updates and continuous delivery of your models into controlled environments.

Accessible directly from your Numspot console, the sovereign AI suite lets you launch new AI projects quickly without integration complexity or vendor lock‑in.

Build a robust foundation for training and deploying all your AI projects, including proprietary models and generative AI.

From prototype to production, you operate in a unified environment to design, train, test and deploy models with sovereign AI tailored to your business and regulatory constraints.

- Choose your AI components (LLM, OCR, voice, image) and deploy them in a sovereign framework aligned with your compliance policies and internal SLAs, backed by fine‑grained data governance, granular access controls and comprehensive usage logging.
- Right‑size your GPU infrastructure to your use cases by scaling compute power for both training and inference across your AI projects.

Unlock your data with sovereign RAG

Sovereign Retrieval Augmented Generation (RAG) services let you tap into your document repositories and internal knowledge bases via specialized agents and chatbots, while keeping all data inside your sovereign environment.

  • Hallucination‑prevention mechanisms for more reliable agents, suitable for high‑stakes business processes.
  • Technologies designed for RAG: graphs, vector databases and relational stores to get maximum value from your data in the era of sovereign AI.
  • Ready‑to‑use connectors to link business tools and information systems to your RAG engine in a simple, traceable and continuous way.

Ultimate automation with AI agents

  • Automate business processes by orchestrating chains of specialized agents with the agentic tools integrated into your sovereign Data & AI offering.
  • Design and orchestrate agent pipelines to automate daily tasks (support, back office, compliance checks, reporting, etc.).
  • Industrialize secure automation workflows while keeping tight control over sensitive data processed at every step.

Sovereign AI use cases 

Analysis of sensitive files and cases (healthcare, finance, public sector)
Decision augmentation for business teams

Intelligent process automation through AI‑driven workflows and agents

FAQ – Sovereign data & AI

What is sovereign artificial intelligence?

Sovereign AI is artificial intelligence developed, trained, and deployed within a controlled environment to preserve strategic autonomy, data security, and regulatory compliance. It is based on full control over data, models, and infrastructure (sovereign clouds, local data centers), avoiding dependence on platforms subject to extraterritorial laws such as the U.S. Cloud Act.

How does sovereign AI differ from standard AI?

Standard AI often runs on cloud services where data and models may be hosted outside the EU and fall under foreign jurisdictions. Sovereign AI, like Numspot’s, ensures sensitive data, models and infrastructure remain under local legal control, with reinforced governance, residency and compliance mechanisms (GDPR, SecNumCloud, HDS, etc.).

What are the benefits of sovereign AI for model training and deployment?

Sovereign AI lets you train and deploy models on sensitive data without exposing them to foreign jurisdictions, reducing legal risk and dataleak exposure. It also improves data and model reversibility, AI workload portability and cost control, while securing training, validation and continuous deployment pipelines.

What are the risks of using non‑sovereign AI for sensitive data?

Using non‑sovereign AI can expose health, financial or strategic data to extraterritorial laws and foreign court orders, especially when hosted on clouds covered by the CLOUD Act. Risks include loss of control over data location, limited reversibility, GDPR compliance challenges and strong dependency on a single provider.

Is data and model reversibility guaranteed with sovereign AI?

Sovereign AI offerings favor open standards (model formats, APIs, containers) and contracts that explicitly govern the export of data, models and logs to avoid lock‑in. This reversibility allows you to move AI workloads to another sovereign provider or your own infrastructure without losing training data, models or performance history.

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