France Adopts ThinkDeep AI Agents to Streamline Public Services
ThinkDeep AI and NVIDIA collaborate to deploy sovereign AI agents for automating French government document processing and fraud detection.
Paris, France — In a groundbreaking move to modernize its public sector, the French government has partnered with ThinkDeep AI and NVIDIA to deploy sovereign AI agents capable of automating document processing, fraud detection, and legal analysis. The collaboration has already saved the Ministry of Finance €2 million and slashed document retrieval times from two days to two minutes.
The Challenge: Managing 100 Million Documents Annually
France’s public administration handles over 100 million documents yearly, requiring civil servants to navigate complex regulations while ensuring accuracy and data security. Traditional methods were slow, labor-intensive, and prone to errors.
The Solution: DeepBrain AI Agents
ThinkDeep’s DeepBrain platform, powered by NVIDIA’s AI infrastructure, enables:
- Multi-agent systems that cross-reference data from PDFs, scans, and videos.
- On-premises deployment to ensure data sovereignty and compliance with the EU AI Act.
- Integration with NVIDIA’s NeMo Retriever, Llama Nemotron models, and Guardrails for ethical AI use.
Key Technologies:
- NVIDIA DGX H100/H200 GPUs for high-performance computing.
- NVIDIA NIM microservices for seamless LLM integration.
- NeMo Curator and Retriever for real-time data processing.
Results: Efficiency at Scale
- €2M saved for the Ministry of Finance.
- 1,000 hours/month saved per 100 users.
- Fraud detection accelerated, reducing financial losses.
Future Applications
ThinkDeep plans to expand its multi-agent AI systems into healthcare, logistics, and aerospace, leveraging NVIDIA’s platform for scalable, secure AI solutions.
"ThinkDeep’s expertise has been instrumental in scaling our generative AI platform," said Thomas Binder, Head of AI at France’s General Directorate of Public Finances.
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About the Author

Dr. Lisa Kim
AI Ethics Researcher
Leading expert in AI ethics and responsible AI development with 13 years of research experience. Former member of Microsoft AI Ethics Committee, now provides consulting for multiple international AI governance organizations. Regularly contributes AI ethics articles to top-tier journals like Nature and Science.